104773 Aws Jobs - Page 37

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 183 million registered learners as of June 30, 2025 . Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera's platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you. Job Overview: Does architecting high quality and scalable data pipelines powering business critical applications excite you? How about working with cutting edge technologies alongside some of the brightest and most collaborative individuals in the industry? Join us, in our mission to bring the best learning to every corner of the world! We're looking for a passionate and talented individual with a keen eye for data to join the Data Engineering team at Coursera! Data Engineering plays a crucial role in building a robust and reliable data infrastructure that enables data-driven decision-making, as well as various data analytics and machine learning initiatives within Coursera. In addition, Data Engineering today owns many external facing data products that drive revenue and boost partner and learner satisfaction. You firmly believe in Coursera's potential to make a significant impact on the world, and align with our core values: Learners first: Champion the needs, potential, and progress of learners everywhere. Play for team Coursera: Excel as an individual and win as a team. Put Coursera's mission and results before personal goals. Maximize impact: Increase leverage by focusing on things that produce bigger results with less effort. Learn, change, and grow: Move fast, take risks, innovate, and learn quickly. Invite and offer feedback with respect, courage, and candor. Love without limits: Celebrate the diversity and dignity of every one of our employees, learners, customers, and partners. Your responsibilities Architect scalable data models and construct high quality ETL pipelines that act as the backbone of our core data lake, with cutting edge technologies such as Airflow, DBT, Databricks, Redshift, Spark. Your work will lay the foundation for our data-driven culture. Design, build, and launch self-serve analytics products. Your creations will empower our internal and external customers, providing them with rich insights to make informed decisions. Be a technical leader for the team. Your guidance in technical and architectural designs for major team initiatives will inspire others. Help shape the future of Data Engineering at Coursera and foster a culture of continuous learning and growth. Partner with data scientists, business stakeholders, and product engineers to define, curate, and govern high-fidelity data. Develop new tools and frameworks in collaboration with other engineers. Your innovative solutions will enable our customers to understand and access data more efficiently, while adhering to high standards of governance and compliance. Work cross-functionally with product managers, engineers, and business teams to enable major product and feature launches. Your skills 5+ years experience in data engineering with expertise in data architecture and pipelines Strong programming skills in Python Proficient with relational databases, data modeling, and SQL Experience with big data technologies (eg: Hive, Spark, Presto) Familiarity with batch and streaming architectures preferred Hands-on experience with some of: AWS, Databricks, Delta Lake, Airflow, DBT, Redshift, Datahub, Elementary Knowledgeable on data governance and compliance best practices Ability to communicate technical concepts clearly and concisely Independence and passion for innovation and learning new technologies If this opportunity interest you, you might like these courses on Coursera - Big Data Specialization Data Warehousing for Business Intelligence IBM Data Engineering Professional Certificate Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org. For California Candidates, please review our CCPA Applicant Notice here. For our Global Candidates, please review our GDPR Recruitment Notice here.

Company Description About Sutherland Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise. We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence. We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model. For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships. Sutherland Unlocking digital performance. Delivering measurable results. Job Description We are looking for a highly skilled and experienced Senior Angular Developer to join our team and help design and implement sophisticated, dynamic, and high-performance web applications. The ideal candidate will have extensive experience in Angular development, a strong understanding of front-end technologies, and the ability to collaborate with cross-functional teams to deliver world-class digital solutions. Responsibilities: Design, develop, and maintain scalable and high-performance web applications using Angular. Lead the development of complex front-end features, ensuring clean, maintainable, and reusable code. Collaborate with back-end developers to integrate APIs and ensure seamless functionality between the front-end and back-end systems. Implement modern front-end development practices and design patterns to optimize application performance and maintainability. Work closely with UX/UI designers to transform wireframes and prototypes into fully functional, responsive web applications. Guide and mentor junior developers on best practices, code quality, and development tools. Ensure cross-browser and cross-platform compatibility to deliver a consistent user experience. Troubleshoot, debug, and optimize web applications for speed and scalability. Stay up-to-date with the latest Angular and web development trends and contribute to the continuous improvement of development practices. Participate in Agile methodologies, including sprint planning, daily standups, and code reviews. Write unit tests and work with the QA team to ensure the delivery of high-quality applications. Collaborate with DevOps teams to ensure smooth deployment and CI/CD pipeline integration. Qualifications Required Skills: 7+ years of hands-on experience with Angular (preferably Angular 5+). Strong proficiency in TypeScript, JavaScript, HTML5, and CSS3. Experience with RESTful APIs and integrating them with front-end applications. Proficiency in state management libraries like NgRx, Redux, or similar. Strong understanding of component-based architecture and modular development in Angular. Experience with front-end build tools such as Webpack, Gulp, or similar. Knowledge of version control systems (Git). Familiarity with Agile development methodologies and working in Agile teams. Experience with testing frameworks such as Jasmine, Karma, or Jest. Strong problem-solving, debugging, and optimization skills. Ability to collaborate effectively in cross-functional teams. Preferred Skills: Experience with other front-end frameworks like React or Vue.js. Familiarity with server-side rendering (SSR) in Angular applications. Experience with mobile-first design and responsive web development. Experience with cloud platforms (AWS, Azure, Google Cloud). Familiarity with CI/CD pipelines and tools (Jenkins, GitLab CI, CircleCI). Experience with GraphQL and Apollo Client for data fetching. Knowledge of design systems and implementing consistent user interfaces. Familiarity with microservices architecture and integrating with microservices backends. Additional Information Why Join Sutherland Global? Join a global leader in digital transformation and customer experience management, where your leadership will shape innovative solutions that empower our clients and their customers. At Sutherland, you’ll work in a collaborative, inclusive environment that values creativity, excellence, and impact. Be part of our mission to deliver next-generation technology solutions and IT services.

Axiad is an identity security company tackling the critical threats posed by compromised credentials, which account for over 70% of enterprise breaches. As human and non-human identities multiply across disparate systems, traditional IAM tools fall short, leaving organizations with fragmented visibility and significant security gaps. Axiad bridges this divide by uncovering hidden identity risks and credential vulnerabilities, providing actionable insights to strengthen security—without requiring a complete system overhaul. Our solutions integrate seamlessly with existing IAM infrastructures, enabling organizations to shrink their attack surface and adopt phishing-resistant, strong authentication methods. At Axiad, we make identity security simple, effective, and real for a passwordless, more secure world. Discover more at axiad.com or follow us on LinkedIn. Location: Hybrid Job Type: Full-time Axiad is seeking a visionary Generative Systems Architect to pioneer the future of software creation. This role evolves the traditional architect position by leveraging a full-stack AI development ecosystem. You will fuse 12+ years of software development experience and deep expertise in the Go programming language with a suite of sophisticated AI tools. Your mission is to steer the architectural design and automated development of mission-critical identity and access management (IAM) systems. Instead of direct, hands-on coding, you will be the strategic mind orchestrating our AI coding agents. You will translate complex business objectives into architectural blueprints and high-level prompts, guiding our AI from ideation to implementation. You will drive technical excellence by directing AI, not by writing code manually. The AI-First Development Environment Your core toolkit is designed for high-level abstraction and strategic oversight: Ideation & Requirements with PM AI tools like devplan: Generate and refine user stories, product requirements, and technical specifications through iterative, AI-assisted dialogues. AI-Driven Implementation with AI coding agents like ClaudeCode, Cursor: Direct our AI coding agent to translate your architectural designs into high-quality, performant Go code. Intelligent Review with AI code review tools like CodeRabbit: Leverage AI to handle syntax, style, and boilerplate reviews, allowing you to focus your expertise on validating the logic, security, and integrity of AI-generated. Role Responsibilities AI-Driven Technical Leadership Define and drive enterprise-wide architectural standards and best practices for Go-based applications. Lead AI-augmented architectural design sessions, using devplan to translate business objectives into robust blueprints for AI execution. Evaluate and recommend technology stacks, frameworks, and tools that enhance the performance and capabilities of our AI-driven development process. Establish design patterns and development methodologies optimized for an AI-first workflow, ensuring the creation of scalable, resilient, and maintainable microservices architectures. Generative Development & Orchestration Generate high-quality, performant Go code by authoring precise, context-rich prompts and specifications for our AI coding agent, ClaudeCode. Oversee AI-assisted code reviews with CodeRabbit, providing expert-level mentorship by focusing on the architectural integrity and logical soundness of the output. Rapidly prototype and develop proof-of-concepts for new architectural approaches by directing AI agents, validating complex ideas in a fraction of the traditional time. Guide the AI to debug and optimize performance bottlenecks in production systems. System Design & AI-Powered Architecture Design and architect large-scale distributed systems and microservices by defining the high-level strategy and constraints for AI implementation. Use AI tools to generate and curate comprehensive technical documentation and architectural diagrams, ensuring they remain perfectly in sync with the evolving codebase. Ensure critical system requirements for scalability, security, and high availability are translated into clear, enforceable directives for the AI development process. Plan and execute system migrations and modernization initiatives by leveraging AI to analyze existing systems and generate refactoring strategies. Skills and requirements Experience & Technical Expertise Direct, hands-on experience with our AI-first toolchain, including devplan, ClaudeCode, and CodeRabbit, or similar generative development platforms. 12+ years of software development experience with strong programming and computer science fundamentals. 5+ years of deep expertise in the Go programming language and its ecosystem, enabling you to effectively guide, critique, and validate AI-generated Go code. Extensive experience designing microservices architectures and distributed systems. Strong architectural knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker, Kubernetes). Proficiency in defining schemas and interaction patterns for database technologies (SQL and NoSQL). Deep understanding of event-driven principles, including message queues and event streaming (Kafka, RabbitMQ). Expertise in RESTful APIs, gRPC, and modern API design principles. Experience with identity and access management (IAM) solutions. Familiarity with identity providers like Auth0, Okta, or Azure AD is highly preferred. Solid understanding of CI/CD pipelines and DevOps practices as they apply to automating the deployment of AI-generated code. Knowledge of how to implement monitoring, logging, and observability using tools like Prometheus, Grafana, or the ELK stack. Leadership & Soft Skills Proven track record of leading technical teams and mentoring developers, with an ability to inspire a shift towards new paradigms. Excellent problem-solving and analytical skills, applied to deconstructing complex problems for AI collaboration. Strong communication skills with a unique ability to explain complex technical concepts to both human stakeholders and AI agents. Ability to balance technical excellence with business requirements and timelines in a fast-paced, Agile/Scrum environment. Preferred Qualifications Familiarity with advanced event-driven architectures and CQRS patterns. Experience with infrastructure as code (Terraform, CloudFormation). Deep knowledge of security best practices and secure coding principles. ABOUT US We are a fast-moving company and are looking for candidates with growth potential, eager to learn and who can demonstrate their abilities and motivation to contribute in a fast-paced environment. Axiad offers a competitive compensation and benefits. You will work in a fun and creative environment with a talented group of individuals that have a passion for building great solutions.

GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. An Overview Of This Role As a member of the Infrastructure Security Team within Product Security, you'll collaborate across GitLab to build resilient, secure cloud infrastructure components that support our customers' DevSecOps objectives from day one. This position's initial focus is on building, securing, and maintaining non-product infrastructure like internal tooling and sandbox environments. Key responsibilities include enabling teams organization-wide through automation, secure defaults, and paved paths. You will also identify misconfigurations, establish best practices, and foster cross-functional collaboration while embodying GitLab's dogfooding philosophy. What You’ll Do Own non-product infrastructure initiatives and deliverables within the team Support enhancements to infrastructure security processes and tooling Partner with diverse stakeholders to develop secure solutions for their infrastructure needs Identify and remediate security issues, misconfigurations, and vulnerabilities related to GitLab’s cloud, container and Kubernetes infrastructure Implement visibility tools that enhance environment awareness and accelerate threat detection Create paved paths enabling engineers to accelerate secure delivery of their work Collaborate cross-functionally for architecture reviews and provide security guidance for new projects Fulfill the Product Security Division Mission of securing GitLab Infrastructure with our own product (“dogfooding”) What You’ll Bring Hands-on experience with public cloud providers (ex. AWS, GCP, Azure) Development experience with Go, Python, Ruby Experience with Infrastructure-as-Code (IaC) tools (ex. Terraform, Ansible, Chef) Knowledge of the Linux operating system, containers (Docker) and orchestration platforms (Kubernetes) An interest in Information Security Demonstrated experience working collaboratively with cross-functional teams. Proficiency to communicate over a text-based medium (Slack, GitLab Issues, Email) and can succinctly document technical details Share our values, and work in accordance with those values How GitLab Will Support You Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Job Title - AI Data Analyst Preferred Location - Bangalore Full time/Part Time - Full Time Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do Job Summary We are looking for a skilled Data Analyst with over 5 years of experience to join our team. The ideal candidate will have a strong background in data management principles, data engineering, and modeling, with hands-on expertise in building data models and data catalogs. This role requires knowledge of data marketplaces, data products, and Agile frameworks, along with a solid understanding of a specific business process (e.g., Supply Chain, Finance, Operations). The Data Analyst will play a key role in transforming raw data into actionable insights, ensuring data quality, and supporting data-driven decision-making across the organization. Key Responsibilities Analyze and interpret complex datasets to provide actionable insights that support business objectives in areas such as Supply Chain, Finance, or Operations. Apply data management principles, including data governance, data quality, and metadata management, to ensure reliable and trustworthy data assets. Collaborate with data engineering teams to design and optimize ETL processes, ensuring efficient data extraction, transformation, and loading. Build and maintain data models using industry-standard data modeling tools to support reporting, analytics, and data integration needs. Develop and manage data catalogs using data catalog tools to enhance data discoverability, lineage, and governance. Contribute to the design and implementation of data marketplaces and data products, enabling self-service access to high-quality datasets. Work within an Agile framework, participating in sprint planning, stand-ups, and retrospectives to deliver iterative data solutions. Partner with business stakeholders to understand specific processes (e.g., Supply Chain, Finance, Operations) and translate requirements into data-driven solutions. Monitor data quality, identify anomalies, and recommend improvements to enhance data integrity and usability. Create visualizations, reports, and dashboards to communicate findings effectively to technical and non-technical audiences. Required Skills And Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. 5+ years of experience as a Data Analyst or in a similar role, with a proven track record of delivering data solutions. Strong experience in data management principles, including data governance, data quality, and metadata management. Proficiency in data engineering concepts, such as ETL processes and data analysis, with hands-on experience in related tools (e.g., SQL, Python, Informatica). Demonstrated expertise in building data models using data modeling tools (e.g., ER/Studio, dbt, PowerDesigner). Practical experience in developing and maintaining data catalogs with tools like Atlan, Collibra, or Informatica Data Catalog. Knowledge of data marketplaces and data products, with an understanding of their role in enabling data accessibility and value creation. Experience working in an Agile framework, delivering incremental value through iterative development cycles. Good understanding of at least one specific business process (e.g., Supply Chain, Finance, Operations) and its data requirements. Strong analytical skills, with the ability to work with large datasets and derive meaningful insights. Excellent communication skills to collaborate with cross-functional teams and present findings to diverse stakeholders. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Familiarity with BI tools like Tableau, Power BI, or Looker for data visualization. Exposure to advanced analytics techniques, such as predictive modeling or machine learning. Our commitment to you Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way. Join us and make a difference. Apply Now! Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Job Applicant's Privacy Notice Click on this link to read the Job Applicant's Privacy Notice

Job Title : AWS Engineer Location : Remote Job Type : Full-Time About Us: Cloud202 Limited is a leading technology consulting company dedicated to helping businesses transform and innovate through cutting-edge technology solutions. We specialize in cloud migration, AI/ML, and application development, providing our clients with the expertise they need to stay ahead in a rapidly evolving digital landscape. Position Overview We are seeking an experienced AWS Engineer to join our cloud infrastructure team. The ideal candidate will have deep expertise in AWS services, cloud architecture design, and application modernization strategies. This role requires hands-on experience with enterprise-scale cloud deployments and the ability to drive digital transformation initiatives. Required Qualifications Experience Minimum 3+ years of hands-on experience with AWS cloud services and infrastructure Proven track record of designing and implementing scalable, secure, and cost-effective cloud solutions Experience with enterprise-level cloud migrations and modernization projects Certifications AWS Professional-level certification required, such as: AWS Certified Solutions Architect – Professional (Preferred) AWS Certified DevOps Engineer – Professional AWS Certified Advanced Networking – Specialty Additional AWS certifications are a plus Technical Skills Core AWS Services: EC2, S3, VPC, IAM, CloudFormation, CloudWatch, Lambda, RDS, ECS/EKS Infrastructure as Code: Terraform, AWS CDK, CloudFormation Containerization: Docker, Kubernetes, Amazon EKS, Amazon ECS CI/CD Pipelines: Jenkins, GitLab/GitHub CI/CD Monitoring & Logging: CloudWatch, AWS X-Ray, ELK Stack, Prometheus, Grafana Networking: VPC design, security groups, load balancers, API Gateway Security: AWS Security best practices, encryption, compliance frameworks Scripting: Python, Bash, PowerShell Preferred Specializations Cloud Architecture Design and implement well-architected cloud solutions following AWS Well-Architected Framework Multi-account AWS Organizations setup and governance Hybrid cloud connectivity and integration patterns Cost optimization strategies and FinOps practices High availability and disaster recovery planning Application Modernization Legacy application assessment and modernization strategy development Microservices architecture design and implementation Serverless computing with AWS Lambda, API Gateway, and event-driven architectures Database modernization including migration from on-premises to AWS RDS, Aurora, or DynamoDB Containerization strategies for legacy applications DevOps transformation and automation implementation Key Responsibilities Architecture & Design Design scalable, secure, and cost-effective AWS cloud architectures Conduct architecture reviews and provide technical guidance to development teams Create and maintain architectural documentation and best practices Evaluate new AWS services and technologies for potential adoption Modernization Leadership Lead application modernization initiatives from assessment through implementation Develop migration strategies for legacy applications to cloud-native architectures Implement DevOps practices and CI/CD pipelines Drive adoption of Infrastructure as Code practices Implementation & Operations Deploy and manage AWS infrastructure using automation tools Implement monitoring, logging, and alerting solutions Optimize cloud costs and resource utilization Ensure security compliance and implement best practices Troubleshoot complex cloud infrastructure issues Collaboration & Leadership Work closely with development teams to enable cloud adoption Mentor junior engineers and share knowledge across the organization Participate in architecture review boards and technical decision-making Collaborate with security and compliance teams to ensure adherence to policies Preferred Experience Experience with multi-cloud or hybrid cloud environments Background in enterprise application modernization projects Knowledge of compliance frameworks (SOC 2, PCI DSS, HIPAA, etc.) Experience with big data and analytics services (EMR, Redshift, Kinesis) Machine learning and AI services experience (SageMaker, Bedrock) Previous consulting or customer-facing experience What We Offer: Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and inclusive work environment. The chance to work on exciting and innovative projects with leading-edge technologies.

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Join the innovative team at Kyndryl as a CTA / Client Technical Solutioner and unlock your potential to shape the future of technology solutions. As a key player in our organization, you will embark on an exciting journey where you get to work closely with customers, understand their unique challenges, and provide them with cutting-edge technical solutions and services. Picture yourself as a trusted advisor – collaborating directly with customers to unravel their business needs, pain points, and technical requirements. Your expertise and deep understanding of our solutions will empower you to craft tailored solutions that address their specific challenges and drive their success. Your role as CTA / Client Technical Solutioner is pivotal in developing domain-specific solutions for our cutting-edge services and offerings. You will be at the forefront of crafting tailored domain solutions and cost cases for both simple and complex, long-term opportunities, demonstrating we meet our customers' requirements while helping them overcome their business challenges. At Kyndryl, we believe in the power of collaboration and your expertise will be essential in supporting our Technical Solutioning and Solutioning Managers during customer technology and business discussions, even at the highest levels of Business/IT Director/LOB. You will have the chance to demonstrate the value of our solutions and products, effectively communicating their business and technical benefits to decision makers and customers. In this role, you will thrive as you create innovative technical solutions & business skills that align with industry trends and exceed customer expectations. Your ability to collaborate seamlessly with internal stakeholders will enable you to gather the necessary documents and technical insights to deliver compelling bid submissions. Not only will you define winning cost models for deals, but you will also lead these deals to profitability, ensuring the ultimate success of both our customers and Kyndryl. You will play an essential role in contract negotiations, up to the point of signature, and facilitate a smooth engagement hand-over process. As the primary source of engagement management and solution design within your technical domain, you will compile, refine, and take ownership of final solution documents. Your technical expertise will shine through as you present these documents in a professional and concise manner, showcasing your mastery of the subject matter. You’ll have the opportunity to contribute to the growth and success of Kyndryl by standardizing our go-to-market pitches across various industries. By creating differentiated propositions that align with market requirements, you will position Kyndryl as a leader in the industry, opening new avenues of success for our customers and our organization. Join us as a CTA / Client Technical Solutioner at Kyndryl and unleash your potential to shape the future of technical solutions while enjoying a stimulating and rewarding career journey filled with innovation, collaboration, and growth. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills And Experience 10 – 12 Years (Specialist Seller / Consultant) is a must with 3 – 4 years of relevant experience as App Architect - Middleware & Integration Proven past experience in Technical skills around Middleware & Integration Services around the likes of Mulesoft, TIBCO & WSO2 etc including the solutions around Hyperscalers (AWS, Azure, Google) Excellent communication skills to engage with clients and influence decisions. High level of competence in preparing Architectural documentation and presentations. Must be organized, self-sufficient and can manage multiple initiatives simultaneously. Must have the ability to coordinate with other teams and vendors, independently Deep knowledge of Services offerings and technical solutions in a practice Demonstrated experience translating distinctive technical knowledge into actionable customer insights and solutions Prior consultative selling experience Externally recognized as an expert in the technology and/or solutioning areas, to include technical certifications supporting subdomain focus area(s) Responsible for Prospecting & Qualifying leads, do the relevant Product / Market Research independently, in response to Customer’s requirement / Pain Point. Advising and Shaping Client Requirements to produce high-level designs and technical solutions in response to opportunities and requirements from Customers and Partners. Work with both internal / external stakeholders to identify business requirements, develop solutions to meet those requirements / build the Opportunity. Understand & analyze the application requirements in Client RFPs Design software applications based on the requirements within specified architectural guidelines & constraints. Lead, Design and implement Proof of Concepts & Pilots to demonstrate the solution to Clients /prospects. Propose modernization of legacy data / app systems / migration to cloud based architectures. Experience in designing Software Architectures with Architectural patterns such as SOA & Event driven architectures etc. Knowledge of API Framework / API Gateway Programming languages such as Java / J2EE / Springboot. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Role Overview: We are seeking a highly skilled Big Data & Cloud Technologies Training & Mentorship Specialist to design, deliver, and mentor teams on cutting-edge data engineering, analytics, and cloud practices. The ideal candidate will have deep technical expertise in Azure, AWS, CI/CD pipelines, ETL processes, and modern data platforms like Databricks, dbt, Snowflake, and Terraform, as well as a passion for knowledge transfer, upskilling teams, and building high-performing data talent. Key Responsibilities: • Training Design & Delivery • Develop structured training programs, hands-on labs, and real-world project simulations for Big Data technologies and cloud platforms. • Deliver instructor-led sessions (both in-person and virtual) tailored for developers, data engineers, analysts, and DevOps teams. • Mentorship & Skill Development • Provide one-on-one and group mentorship to guide team members in mastering tools, frameworks, and workflows. • Conduct code reviews, architecture guidance, and best practices workshops. • Technical Enablement • Create learning roadmaps for Azure Data Services, AWS Data Solutions, CI/CD, and Infrastructure as Code (IaC) using Terraform. • Mentor teams on designing scalable ETL pipelines and optimizing workloads in Databricks, dbt, and Snowflake. Process & Best Practices Establish coding standards, governance models, and documentation templates for data engineering and cloud workflows. Integrate training content with CI/CD best practices and agile delivery methods. Required Technical Skills: Big Data & Cloud Platforms: Azure Data Factory, Azure Databricks, AWS Glue, AWS Lambda, EMR, Redshift. Data Engineering & ETL: Building and optimizing ETL/ELT workflows using Databricks, dbt, and Snowflake. DevOps & CI/CD: Designing and implementing automated CI/CD pipelines using tools like Azure DevOps, GitHub Actions, GitLab CI/CD, Jenkins. Infrastructure as Code (IaC): Proficient in Terraform for deploying and managing cloud infrastructure. Programming & Scripting: Python, SQL, PySpark, Shell scripting. Version Control & Collaboration: Git-based workflows, branching strategies, and peer review practices. Qualifications & Experience: Bachelor’s/Master’s degree in Computer Science, Data Engineering, or related field (or equivalent practical experience). 7+ years of hands-on experience in Big Data Engineering and Cloud Platforms. Proven track record in designing and delivering technical training programs. Experience mentoring technical teams in enterprise or consulting environments. Strong understanding of data governance, security, and compliance in cloud environments. Soft Skills: Excellent communication and presentation abilities. Strong leadership and motivational skills to inspire learning and growth. Ability to adapt training styles for different technical proficiency levels. Problem-solving mindset with a focus on practical, real-world applications.

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 183 million registered learners as of June 30, 2025 . Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera's platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you. Job Overview: As a Test Engineer (Test Infrastructure and Tooling) at Coursera, you'll play a key role in helping teams produce high-quality software for millions of learners across the world. Actively seeking out opportunities for test coverage, infrastructure, and framework improvements, you'll be an enabling force; allowing developers to deliver value to our customers quickly and safely. You'll work closely with Infrastructure, and SRE teams to optimize build and test pipelines for speed, coverage, and reliability. Collaborating with Engineering leaders and fellow Test Engineers, you'll help define effective test strategies and process improvements to help quality at Coursera scale. Responsibilities: Build software and solutions that empower Engineering teams to solve problems and deliver high-quality software Research and identify solutions and lead large-scale test automation initiatives Monitor test environments and provide support when errors and incidents occur Contribute to e2e test strategy, analyze requirements, build test plans, and design test cases for new features, integrations (regression, performance, load) Lead quality initiatives of one or more teams to ensure higher bar of quality Actively seek out areas for improvement in our tech stack and find creative ways to break our product and systems Use quality metrics and performance metrics to drive change and improve quality Basic Qualifications: 4+ years of testing experience, ideally testing web applications 4+ years working directly with product teams in an agile environment 4+ years of experience in UI and API automation 4+ years of experience working with CI/CD build pipeline with a focus on test automation (Github actions, Circleci, Kubernetes) Experience with development and maintenance of test automation tools using popular open source technologies(Puppeteer, Cypress, Playwright, Selenium) Preferred Qualifications: Previous startup experience and testing in an Agile development life cycle is a plus Experience with API testing frameworks (Postman, REST-assured, Pact) Programming or scripting language proficiency (JavaScript, Java, Python) Experience with Cloud platforms such as AWS, Azure, or GCP Exceptional written and verbal communication skills If this opportunity interests you, you might like these courses on Coursera: Interactivity with JavaScript Testing with Agile Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org. For California Candidates, please review our CCPA Applicant Notice here. For our Global Candidates, please review our GDPR Recruitment Notice here.

About the Program: An intensive 8-week virtual training program on Databricks and PySpark for Data Engineering in Azure and AWS, followed by a 2-month real-time project exposure and placement opportunities for eligible candidates with NRM Analytix itself. Training Includes: Daily 4 to 6-hour of real time projects tasks. Hands-on Databricks Notebooks, Labs, PySpark Projects Training with real-time industry use cases Databricks Associate and Profess Certification Exam Support (Associate & Professional) Job placement opportunities at NRM Analytix after training Why Join? Perfect for Freshers (2023 / 2024 / 2025 pass-outs) and Professionals shifting to Data Engineering Real-world exposure — work exactly like an industry data engineer Fast-track your career — 4 months from learning to placement Eligibility: Graduates (2023, 2024, or 2025 pass-outs) Professionals looking to shift job to Data Engineering Strong interest in cloud-based big data solutions Location Preference: Tamil Nadu candidates preferred for placement. 💰 Fees: Paid training program (details shared upon application) 📍 Mode: Virtual Live (some days will be in Chennai office) To Apply: Send your resume with the subject line “Databricks Placement Program” to contact@nrmanalytix.com. ⚠ Important: Candidates will be selected for this program based on an initial screening process to ensure commitment and readiness. 🔥 Seats are limited! Apply now to begin your Data Engineering transformation with NRM Analytix.\ #Databricks #DataEngineering #Placement #FreshersJob #CareerGrowth #BigData #PySpark #VirtualTraining #DataScience #NRMAnalytix

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Responsibilities: · • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Mandatory skill sets: AI/ML, NLP, and Generative AI models, Preferred skill sets: Azure, Google Cloud Years of experience required: 7-8 Years Education qualification: Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree, Doctor of Philosophy Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure Devops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Responsibilities: · • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Mandatory skill sets: AI/ML, NLP, and Generative AI models, Preferred skill sets: Azure, Google Cloud Years of experience required: 7-8 Years Education qualification: Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Doctor of Philosophy, Bachelor Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure Devops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Responsibilities: · • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Mandatory skill sets: AI/ML, NLP, and Generative AI models, Preferred skill sets: Azure, Google Cloud Years of experience required: 7-8 Years Education qualification: Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree, Doctor of Philosophy Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure Devops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Responsibilities: · • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Mandatory skill sets: AI/ML, NLP, and Generative AI models, Preferred skill sets: Azure, Google Cloud Years of experience required: 7-8 Years Education qualification: Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree, Doctor of Philosophy Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure Devops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Responsibilities: · • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Mandatory skill sets: AI/ML, NLP, and Generative AI models, Preferred skill sets: Azure, Google Cloud Years of experience required: 7-8 Years Education qualification: Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree, Doctor of Philosophy Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure Devops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Responsibilities: · • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Mandatory skill sets: AI/ML, NLP, and Generative AI models, Preferred skill sets: Azure, Google Cloud Years of experience required: 7-8 Years Education qualification: Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree, Doctor of Philosophy Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure Devops Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Job Title: Associate - Power BI Developer GCL: C2 Introduction To Role Are you ready to dive into the world of data and uncover insights that drive impactful decisions? We are on the lookout for a dedicated Data Insights Analyst to join our dynamic team. Your expertise will be crucial in redefining raw data into actionable insights, helping us navigate the complexities of data analysis with precision and passion. If you excel at detail and a love for discovering hidden trends, this is the opportunity for you! Accountabilities Translate Business Needs into Product Requirements: Collaborate closely with stakeholders to understand their business objectives and translate them into clear and concise product requirements. Data Extraction and Integration: Pull data from various sources and effectively join and map unrelated datasets to create a comprehensive view. Metric Calculation and Documentation: Clearly explain and document the methodology and business rules used to calculate key metrics. Data Visualization: Create informative and visually appealing data visualizations to effectively communicate findings to collaborators. Data Governance: Follow data governance standards to uphold data quality and integrity. Essential Skills/Experience Minimum of 3 to 5 years’ experience working in a role associated with reporting, analytics, and/or data management. Strong proficiency in SQL, EXCEL. Excellent problem-solving and analytical skills. Ability to work independently and as part of a team. Strong communication and interpersonal skills. Experience with data visualization tools (Power BI). Good with Data Modelling, Power Query and RLS techniques in Power BI. Well versed in working with different DAX functions. Knowledge of industry standards and trends. Experience with cloud-based data platforms (e.g., AWS, GCP, Azure). Experience working in a fast-paced, agile environment. Knowledge in Python. Work Experience with Jira and Figma tools will be a plus. Desirable Skills/Experience Bachelor’s degree in computer science, Statistics, Mathematics, or a related field. Demonstrable experience as a Data Insights Analyst, Business Intelligence Developer or a similar role. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, every day is an opportunity to make a meaningful impact on patients' lives. We are united by a shared dedication to our purpose, driving innovation at the forefront of science. Our collaborative environment fosters growth through intelligent risks and reimagining processes. Here, you can be part of a distributed team that empowers you to challenge norms, take ownership, and contribute to ground-breaking solutions. With investment in talent development and a focus on sustainability, AstraZeneca offers a rewarding career where your expertise can truly make a difference. Ready to take the next step? Apply now and become part of our journey! Date Posted 14-Aug-2025 Closing Date AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Company: Pluralsight Website: Visit Website Business Type: Enterprise Company Type: Product Business Model: B2B2C Funding Stage: Series D+ Industry: Edtech Job Description The Senior Manager of Software Engineering is responsible for establishing and leading a multi-function engineering and DevOps team. They partner with executive and senior leadership to ensure the success of our regional and/or domain-specific engineering functions. Who You’re Committed To Being Strong leader who leads by example Tech genius who manages challenges & issues easily. Successfully owning the engineering function You enjoy learning and are open to new ways of doing things. You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or voice your concerns. When communicating you are self-aware, insightful, and proactive. What You’ll Do Regional and/or domain leadership Drive product excellence ensuring that our technology delights our users, improves quality, and reduces the cost of support and maintenance of our product development Ensure our products meet or exceed the contracted SLA uptime Create direct and deep relationship with product managers, sales, and account managers Inform the product strategy by bringing technical perspective to the conversation Experience You’ll Bring Experience as a software engineer and technical leader with large-scale projects delivered have prepared you for this role Experience leading technical team that support and partner with international technology and product peers Experience operating both cloud services, with technical depth to be active in decisions about the large architectural investments Proven ability to focus engineering work on the top corporate objectives and priorities, and accountability for keeping strategic work on track Experience with API management, product instrumentation, analytics, continuous development and integration, and security and audit concerns Should have experience in hiring and mentoring talent must have been involved in the appraisal process and people/team management for at least 5 years. Requirements Requires a minimum of 15+ years overall experience An engineering graduate with computer science or information technology background. Should have the work experience in building and maintaining backend services and APIs using Node.js and C# (.NET Core) Troubleshoot and debug issues across the full stack. Adds value if worked in Analytical tools like MS-SQL / MYSQL / PostGres Adds value if worked in the OLAP tools like Snowflake, Spark or any similar tools Collaborate with UX/UI designers, product managers, and other developers to define, design, and deliver new features. Optimize applications for maximum speed, scalability, and maintainability. Participate in code reviews, sprint planning, and team meetings. Contribute to system architecture and technical design discussions. Collaborate with the development team / architect to Design and implement database schemas, tables, views, and indexes as per the standards. Collaborate with developers, analysts, and business stakeholders to understand data requirements Help theTroubleshoot performance issues and ensure database integrity and security Ensure best practices in database design and development Perform regular data quality checks and support data migration projects Guide the team to Develop responsive, high-performance web interfaces using React, TypeScript, and JavaScript. Should have the knowledge and work experience with containers (Docker, Kubernetes) for development, testing, and deployment. Collaborate with DevOps teams to integrate CI/CD pipelines and automate workflows. Proficiency with modern IDEs such as VS Code. Version control experience using GitLab, including branching strategies and merge requests. Task and issue tracking using JIRA or similar tools. Understanding of AWS services (especially EC2, S3, RDS, SQS) and cloud architecture principles. Experience working with containers (Docker, Kubernetes). Exposure to monitoring/logging tools like Grafana, New Relic, Opsgenie, or similar (Datadog, Prometheus, etc.). Basic knowledge of application performance monitoring (APM) and alerting best practices. Experience working collaboratively with Agile or Kanban development teams. Good communication skills, ability to partner with product and design, and collaborate on multi-functional teams - a strong collaborator, a trusted teammate, and are skilled at resolving and working through different ideas. Hybrid Work Model: This role follows a hybrid schedule, with on-site work at our Bangalore office two days per week, as agreed up on with your leader. This approach helps us collaborate more effectively, make decisions more quickly, and build a stronger culture, while still providing flexibility. Why You’ll Love Working Here We’re a blended workplace, where team members work remotely or in a hybrid setup depending on their role and location We’re mission-driven and values-guided. We have a strong commitment to diversity and belonging. We cultivate a culture of trust, autonomy, and collaboration. We’re lifelong learners and champion team member growth and advancement. We’ve got you covered: team member benefits include competitive compensation packages, medical coverage, unlimited PTO and Summer Fridays, wellness reimbursements, Pluralsight subscription, professional development funds, and more. About Us Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today’s tech workforce. Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning. Pluralsight provides highly curated content developed by vetted technology experts, industry leading skill assessments, and hands on, immersive learning experiences designed to help individuals skill-up faster. Physical And Mental Requirements Work is performed in an office (or home office) environment and requires the ability to operate office equipment and keyboards. Sedentary work. Repetitive work. Ability to perform tasks related to documentation, data analysis, transcription and extensive content analysis. Learn new tasks, remember processes, complete tasks independently, and make timely decisions in the context of a workflow. EEOC Statement Bring yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, age or protected veteran status. Pluralsight will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please visit the bottom of our website to learn how to request an accommodation. For more information on Pluralsight’s commitment to building a more diverse and inclusive workforce, please review our most recent Diversity, Equity, Inclusion and Belonging report here. Please Be Aware Of Recruiting Scams That May Impersonate Pluralsight. These Unauthorized Parties May Use Our Name, Logo, And Employee Information To Solicit Personal Information Or Payments From Job Seekers Under The Guise Of Employment Offers. Please Note The Following Pluralsight will only contact candidates through official channels, such as emails from the @pluralsight.com domain or direct messages via our verified profiles (e.g., LinkedIn). We will never request payment, banking information, or personal documents (such as your social security number or passport) as part of the application process. All legitimate Pluralsight job openings are posted on our Careers page, and our hiring process is outlined in detail on our How We Hire page. If you receive a suspicious message claiming to be from or about Pluralsight, we encourage you to contact us directly via recruiting@pluralsight.com to verify its authenticity.

Syniverse is the world’s most connected company. Whether we’re developing the technology that enables intelligent cars to safely react to traffic changes or freeing travelers to explore by keeping their devices online wherever they go, we believe in leading the world forward. Which is why we work with some of the world’s most recognized brands. Eight of the top 10 banks. Four of the top 5 global technology companies. Over 900 communications providers. And how we’re able to provide our incredible talent with an innovative culture and great benefits. Who We're Looking For The Sr Data Engineer is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems or building new solutions from ground up. This role will work with developers, architects, product managers and data analysts on data initiatives and ensure optimal data delivery with good performance and uptime metrics. Your behaviors align strongly with our values because ours do. Some Of What You'll Do Scope of the Role: Direct Reports: This is an individual contributor role with no direct reports Key Responsibilities Create, enhance, and maintain optimal data pipeline architecture and implementations. Analyze data sets to meet functional / non-functional business requirements. Identify, design, and implement data process: automating processes, optimizing data delivery, etc. Build infrastructure and tools to increase data ETL velocity. Work with data and analytics experts to implement and enhance analytic product features. Provide life cycle support the Operations team for existing products, services, and functionality assigned to the Data Engineering team. Experience, Education, And Certifications Bachelor’s degree in Computer Science, Statistics, Informatics or related field or equivalent work experience. 5+ years of Software Development experience, including 3+ years of experience in Data Engineer fields. Experience in building and optimizing big data pipelines, architectures, and data sets: Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL databases, such as PostgreSQL, MySQL, etc. Experience with stream-processing systems: Flink, KSQL, Spark-Streaming, etc. Experience with programming languages, such as Java, Scala, Python, etc. Experience with cloud data engineering and development, such as AWS, etc. Additional Requirements Familiar with Agile software design processes and methodologies. Good analytic skills related to working with structured and unstructured datasets. Knowledge of message queuing, stream processing and scalable big data stores. Ownership/accountability for tasks/projects with on time and quality deliveries. Good verbal and written communication skills. Teamwork with independent design and development habits. Work with a sense of urgency and positive attitude. Why You Should Join Us Join us as we write a new chapter, guided by world-class leadership. Come be a part of an exciting and growing organization where we offer a competitive total compensation, flexible/remote work and with a leadership team committed to fostering an inclusive, collaborative, and transparent organizational culture. At Syniverse connectedness is at the core of our business. We believe diversity, equity, and inclusion among our employees is crucial to our success as a global company as we seek to recruit, develop, and retain the most talented people who want to help us connect the world. Know someone at Syniverse? Be sure to have them submit you as a referral prior to applying for this position.

Role Overview We are seeking a highly skilled and motivated System Engineer || Bangalore with 6+ years of experience. If you're passionate about coding, problem-solving, and innovation, we'd love to hear from you! About Us CodeVyasa is a mid-sized product engineering company that works with top-tier product/solutions companies such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are about 550+ people strong and we cater to Product & Data Engineering use-cases around Agentic AI, RPA, Full-stack and various other GenAI areas. Key Responsibilities: Design, develop, and maintain Java-based applications for data processing and analytics. Implement efficient algorithms and data structures to optimize system performance. Work with query engines and databases to enable fast data retrieval and processing. Develop, test, and deploy large-scale data processing pipelines. Collaborate with cross-functional teams to gather requirements and deliver solutions. Ensure code quality, performance optimization, and adherence to best practices. Must-Have Skills: Strong proficiency in Java and Object-Oriented Programming (OOP) . Solid understanding of Data Structures & Algorithms . Experience with query engines (e.g., Apache Hive, Presto, Spark SQL, Trino). Hands-on experience with databases (SQL/NoSQL). Familiarity with large-scale data processing systems (e.g., Apache Spark, Hadoop, Flink). Good-to-Have Skills: Experience with distributed computing frameworks. Knowledge of performance tuning and optimization for large datasets. Familiarity with cloud-based data solutions (AWS, GCP, Azure). Why Join CodeVyasa? Work on innovative, high-impact projects with a team of top-tier professionals. Continuous learning opportunities and professional growth. Flexible work environment with a supportive company culture. Competitive salary and comprehensive benefits package. Free healthcare coverage.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: About the Role: We are seeking a hands-on Data Engineer with 5-8 years of experience specializing in on-premises database migration to cloud. The ideal candidate will have a strong background in cloud migration whether on-premises to Azure cloud, or cloud to Azure cloud. Key Responsibilities: · Should have experience of database migration strategy and related technologies. · Experience of Microsoft SQL DB migration from on-prem to cloud platform. · Experience of any other cloud (e.g. AWS or GCP) to Azure cloud platform. · Review Database migration plans, provide recommendation and liaise with Customer and Migration Factory for successful migrations. · Ability to identify and resolve performance issues post-migration Required Skills: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. · Stronger performance tuning (partitioning, exec plans, indexing etc.), data modeling experience and dacpac deployment experience, Stored Procedures Optimization · Extensive experience with Azure Data Services, including Azure Data Factory, Azure SQL Data Warehouse, and Synapse Analytics. · Strong understanding of database architecture principles and best practices. Preferred Qualifications: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and GitHib as Code Repo · Knowledge of setting up High Availability & Disaster Recovery configuration. · Experience in setting up Always ON Availability Groups & Zone Redundant Storage · Familiarity with Azure DevOps (ADO) for (CI/CD) pipelines, Infrastructure as Code (IaC) tools like Terraform for deploying container apps and associated services · Knowledge of security best practices and compliance requirements for cloud-based applications · Backup/recovery, Security related activities, Audit tracking and reporting · Maintaining and supporting, monitoring production and test environments · Implementing of High Availability such as Clustering, Database Mirroring, Log Shipping, and Replication Mandatory skill sets: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. Preferred skill sets: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and Git Hib as Code Repo Years of experience required: Experience: 5-8 Years Education qualification: B.Tech / M.Tech / MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Database Migrations Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: About the Role: We are seeking a hands-on Data Engineer with 5-8 years of experience specializing in on-premises database migration to cloud. The ideal candidate will have a strong background in cloud migration whether on-premises to Azure cloud, or cloud to Azure cloud. Key Responsibilities: · Should have experience of database migration strategy and related technologies. · Experience of Microsoft SQL DB migration from on-prem to cloud platform. · Experience of any other cloud (e.g. AWS or GCP) to Azure cloud platform. · Review Database migration plans, provide recommendation and liaise with Customer and Migration Factory for successful migrations. · Ability to identify and resolve performance issues post-migration Required Skills: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. · Stronger performance tuning (partitioning, exec plans, indexing etc.), data modeling experience and dacpac deployment experience, Stored Procedures Optimization · Extensive experience with Azure Data Services, including Azure Data Factory, Azure SQL Data Warehouse, and Synapse Analytics. · Strong understanding of database architecture principles and best practices. Preferred Qualifications: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and GitHib as Code Repo · Knowledge of setting up High Availability & Disaster Recovery configuration. · Experience in setting up Always ON Availability Groups & Zone Redundant Storage · Familiarity with Azure DevOps (ADO) for (CI/CD) pipelines, Infrastructure as Code (IaC) tools like Terraform for deploying container apps and associated services · Knowledge of security best practices and compliance requirements for cloud-based applications · Backup/recovery, Security related activities, Audit tracking and reporting · Maintaining and supporting, monitoring production and test environments · Implementing of High Availability such as Clustering, Database Mirroring, Log Shipping, and Replication Mandatory skill sets: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. Preferred skill sets: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and Git Hib as Code Repo Years of experience required: Experience: 5-8 Years Education qualification: B.Tech / M.Tech / MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Database Migrations Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: About the Role: We are seeking a hands-on Data Engineer with 5-8 years of experience specializing in on-premises database migration to cloud. The ideal candidate will have a strong background in cloud migration whether on-premises to Azure cloud, or cloud to Azure cloud. Key Responsibilities: · Should have experience of database migration strategy and related technologies. · Experience of Microsoft SQL DB migration from on-prem to cloud platform. · Experience of any other cloud (e.g. AWS or GCP) to Azure cloud platform. · Review Database migration plans, provide recommendation and liaise with Customer and Migration Factory for successful migrations. · Ability to identify and resolve performance issues post-migration Required Skills: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. · Stronger performance tuning (partitioning, exec plans, indexing etc.), data modeling experience and dacpac deployment experience, Stored Procedures Optimization · Extensive experience with Azure Data Services, including Azure Data Factory, Azure SQL Data Warehouse, and Synapse Analytics. · Strong understanding of database architecture principles and best practices. Preferred Qualifications: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and GitHib as Code Repo · Knowledge of setting up High Availability & Disaster Recovery configuration. · Experience in setting up Always ON Availability Groups & Zone Redundant Storage · Familiarity with Azure DevOps (ADO) for (CI/CD) pipelines, Infrastructure as Code (IaC) tools like Terraform for deploying container apps and associated services · Knowledge of security best practices and compliance requirements for cloud-based applications · Backup/recovery, Security related activities, Audit tracking and reporting · Maintaining and supporting, monitoring production and test environments · Implementing of High Availability such as Clustering, Database Mirroring, Log Shipping, and Replication Mandatory skill sets: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. Preferred skill sets: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and Git Hib as Code Repo Years of experience required: Experience: 5-8 Years Education qualification: B.Tech / M.Tech / MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration) Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Database Migrations Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: About the Role: We are seeking a hands-on Data Engineer with 5-8 years of experience specializing in on-premises database migration to cloud. The ideal candidate will have a strong background in cloud migration whether on-premises to Azure cloud, or cloud to Azure cloud. Key Responsibilities: · Should have experience of database migration strategy and related technologies. · Experience of Microsoft SQL DB migration from on-prem to cloud platform. · Experience of any other cloud (e.g. AWS or GCP) to Azure cloud platform. · Review Database migration plans, provide recommendation and liaise with Customer and Migration Factory for successful migrations. · Ability to identify and resolve performance issues post-migration Required Skills: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. · Stronger performance tuning (partitioning, exec plans, indexing etc.), data modeling experience and dacpac deployment experience, Stored Procedures Optimization · Extensive experience with Azure Data Services, including Azure Data Factory, Azure SQL Data Warehouse, and Synapse Analytics. · Strong understanding of database architecture principles and best practices. Preferred Qualifications: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and GitHib as Code Repo · Knowledge of setting up High Availability & Disaster Recovery configuration. · Experience in setting up Always ON Availability Groups & Zone Redundant Storage · Familiarity with Azure DevOps (ADO) for (CI/CD) pipelines, Infrastructure as Code (IaC) tools like Terraform for deploying container apps and associated services · Knowledge of security best practices and compliance requirements for cloud-based applications · Backup/recovery, Security related activities, Audit tracking and reporting · Maintaining and supporting, monitoring production and test environments · Implementing of High Availability such as Clustering, Database Mirroring, Log Shipping, and Replication Mandatory skill sets: · Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI · Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages · In-depth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. Preferred skill sets: · Azure Solutions Architect Expert certification. · Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI · Experience of CTS/Migration technologies. (Rehost/Clean Deployments) · Should have exp on Azure project and Git Hib as Code Repo Years of experience required: Experience: 5-8 Years Education qualification: B.Tech / M.Tech / MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Database Migrations Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Company: Epiq Global Website: Visit Website Business Type: Enterprise Company Type: Product Business Model: B2B Funding Stage: IPO/Public Industry: Legal Tech Salary Range: ₹ 35-40 Lacs PA Job Description Epiq is a global leader in technology-enabled legal, compliance, and business services, partnering with law firms, corporations, financial institutions, and government agencies. With 6,200+ employees across 18 countries, we deliver expertise in eDiscovery, compliance, legal operations, contract management, restructuring, and business transformation. Leveraging AI, analytics, and automation, Epiq streamlines complex workflows to help clients achieve efficiency, security, and innovation at scale. Position Summary We are looking for a highly skilled Senior Software Engineer with deep expertise in Java Full Stack Development, Cloud technologies, and a strong foundation in Application Security. This role is part of a strategic engineering operations team, requiring hands-on technical leadership and end-to-end project ownership. As a Senior Developer, you will collaborate closely with lead engineers, business stakeholders, leadership, DevOps, and cross-functional teams to design and build robust, secure, and scalable applications. Key Responsibilities Lead the entire software development lifecycle: requirements gathering, design, development, implementation, and support. Solve complex business problems using strong analytical and problem-solving skills. Design and build scalable SaaS applications and manage cloud migrations. Explore and implement new technologies to enhance system performance, reliability, and maintainability. Build dashboards and visual tools to track system KPIs and metrics. Work extensively with modern Java frameworks like Spring Boot, Spring Security, Spring Cloud, and Quarkus. Drive DevOps and DevSecOps best practices across development workflows. Communicate technical solutions and insights effectively to leadership and stakeholders. Stay updated with advancements in AI/Gen AI and contribute to AI-driven improvements in engineering operations. Mentor junior developers, resolve technical challenges, and promote collaboration within the team. Required Qualifications And Skills Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field (B.Tech, MCA, MS). 8+ years of experience in software engineering. Strong architectural mindset with hands-on experience in Full Stack Development. Expertise in Java, Data Structures, and RDBMS. Proficiency in Spring Framework (Boot, Security, Data, Cloud) and/or Quarkus. Experience working on multiple cloud platforms (Azure, AWS, or GCP). Strong front-end development skills in React or Angular. Hands-on experience with API integration and design patterns. Experience with data visualization tools and libraries. Experience with Application Security is a Must. Knowledge of Cybersecurity, Data Security, or Data Breach domains is a plus. Familiarity with CI/CD pipelines, Kubernetes, SAST, DAST, TDD. Experience with Agile/Scrum and SDLC best practices. Proficiency in project management and collaboration tools. Excellent communication skills to engage with clients, leadership, and cross-functional teams. Java Certification is a plus.