About The Role We are seeking experienced Data Analysts to join our growing team. The ideal candidate will have a strong background in data analysis, complex SQL queries, and experience working within large-scale Data Warehouse environments. Familiarity with cloud technologies such as GCP or AWS is mandatory, and prior exposure to AWS EMR and Apache Airflow is highly desirable. ________________________________________ Key Responsibilities Perform deep data analysis to support business decision-making, reporting, and strategic initiatives. Write and optimize complex SQL queries for data extraction, transformation, and reporting across large, distributed datasets. Work extensively within data warehouse environments to design, test, and deliver data solutions. Collaborate with data engineers, business analysts, and stakeholders to understand requirements and translate them into technical deliverables. Analyze large, complex datasets to identify trends, patterns, and opportunities for business growth. Develop, maintain, and optimize ETL/ELT pipelines; familiarity with Apache Airflow for workflow orchestration is a plus. Work with cloud-native tools on GCP or AWS to manage and analyze data effectively. Support the development of data quality standards and ensure data integrity across all reporting platforms. Document data models, queries, processes, and workflows for knowledge sharing and scalability.____________________________________ Required Skills & Experience Minimum 7 years of professional experience in Data Analysis. Strong, demonstrable expertise in SQL, including writing, debugging, and optimizing complex queries. Solid experience working within a Data Warehouse environment (e.g., BigQuery, Redshift, Snowflake, etc.). Hands-on experience with GCP (BigQuery, Dataflow) or AWS (Redshift, Athena, S3, EMR). Knowledge of data modeling concepts, best practices, and data architecture principles. Understanding of ETL processes and tools; hands-on experience with Apache Airflow is a strong plus. Strong analytical thinking, attention to detail, and problem-solving skills. Ability to work in a fast-paced environment and manage multiple priorities. Show more Show less

We are Allvue Systems, the leading provider of software solutions for the Private Capital and Credit markets. Whether a client wants an end-to-end technology suite, or independently focused modules, Allvue helps eliminate the boundaries between systems, information, and people. We’re looking for ambitious, smart, and creative individuals to join our team and help our clients achieve their goals. Working at Allvue Systems means working with pioneers in the fintech industry. Our efforts are powered by innovative thinking and a desire to build adaptable financial software solutions that help our clients achieve even more. With our common goals of growth and innovation, whether you’re collaborating on a cutting-edge project or connecting over shared interests at an office happy hour, the passion is contagious. We want all of our team members to be open, accessible, curious and always learning. As a team, we take initiative, own outcomes, and have passion for what we do. With these pillars at the center of what we do, we strive for continuous improvement, excellent partnership and exceptional results. Come be a part of the team that’s revolutionizing the alternative investment industry. Define your own future with Allvue Systems! Data Pipeline Management Design, develop, and maintain scalable data pipelines Implement ELT processes to ingest data from various internal and external sources Ensure data quality and reliability across all data pipelines Stakeholder Management Collaborate with key stakeholders (technical and non-technical) to understand data requirements and translate them into technical specifications Provide regular updates to stakeholders and ensure alignment with project/task goals Data Analysis and Transformation Develop scripts for data retrieval, transformation, and enrichment Utilize various tools and languages such as SQL, DBT, Python, Airbyte for data processing tasks Implement automation for repetitive data management tasks Collaboration and Communication Work closely with Data Analysts, Platform Owners, and other Engineering teams Participate in code reviews and promote best practices for data engineering Document data processes, systems, and standards Proficiency in SQL, Python, and/or other relevant programming languages Experience with DBT and similar data transformation platforms required Experience with Airflow or similar data orchestration tools required Familiarity with data warehouse solutions (e.g., Snowflake, Redshift) required Proven ability to work autonomously and manage workload effectively Proven experience working with cross-functional teams Familiarity with iPaaS solutions (Workato, Celigo, MuleSoft) a plus Experience with enterprise business applications (Salesforce, NetSuite, SuiteProjects Pro, Jira) a plus Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and related services a plus 3-5 years of experience in data engineering or related field Show more Show less

About The Role Grade Level (for internal use): 10 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s In It For You Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Build production ready data acquisition and transformation pipelines from ideation to deployment Being a hands-on problem solver and developer helping to extend and manage the data platforms Apply best practices in data modeling and building ETL pipelines (streaming and batch) using cloud-native solutions What We’re Looking For 3-5 years of professional software work experience Expertise in Python and Apache Spark OOP Design patterns, Test-Driven Development and Enterprise System design Experience building data processing workflows and APIs using frameworks such as FastAPI, Flask etc. Proficiency in API integration, experience working with REST APIs and integrating external & internal data sources SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Core Java 17+, preferably Java 21+, and associated toolchain DevOps with a keen interest in automation Apache Avro Apache Kafka Kubernetes Cloud expertise (AWS and GCP preferably) Other JVM based languages - e.g. Kotlin, Scala C# - in particular .NET Core Data warehouses (e.g., Redshift, Snowflake, BigQuery) What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315685 Posted On: 2025-05-20 Location: Gurgaon, Haryana, India Show more Show less

About the Job : At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change. Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises. Be part of a company that’s pushing the boundaries of digital transformation. At Techjays, you’ll work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact. Join us on our journey to shape the future with AI. We’re looking for a skilled AI Implementation Engineer with a strong JavaScript/TypeScript background to help us build scalable AI-powered systems, with a particular focus on Retrieval-Augmented Generation (RAG) and LLM integrations. You will play a key role in developing intelligent applications that combine vector search, natural language processing, and LLM-driven reasoning, delivering real-time AI experiences to end users. You’ll work with full-stack engineers, AI researchers, and data teams to create seamless interfaces between front-end applications, back-end services, and AI models. We are seeking a Data Analytics Engineer to design, develop, and optimize data pipelines and analytical dashboards that drive key business decisions. The ideal candidate will have hands-on experience working with BI tools like Power BI and Tableau and a strong background in building scalable data pipelines in AWS, GCP, or Azure cloud environments.\ Experience Range: 3 to 6 years Primary skills : Power BI, Tableau, SQL, Data Modeling, Data Warehousing, ETL/ELT Pipelines, AWS Glue, AWS Redshift, GCP BigQuery, Azure Data Factory, Cloud Data Pipelines, DAX, Data Visualization, Dashboard Development Secondary Skills : Python, dbt, Apache Airflow, Git, CI/CD, DevOps for Data, Snowflake, Azure Synapse, Data Governance, Data Lineage, Apache Beam, Data Catalogs, Basic Machine Learning Concepts Work Location : Remote Key Responsibilities: Develop and maintain scalable, robust ETL/ELT data pipelines across structured and semi-structured data sources. Collaborate with data scientists, analysts, and business stakeholders to identify data requirements and transform them into efficient data models. Design and deliver interactive dashboards and reports using Power BI and Tableau. Implement data quality checks, lineage tracking, and monitoring solutions to ensure high reliability of data pipelines. Optimize SQL queries and BI reports for performance and scalability. Work with cloud-native tools in AWS (e.g., Glue, Redshift, S3), GCP (e.g., BigQuery, Dataflow), or Azure (e.g., Data Factory, Synapse). Automate data integration and visualization workflows. Required Qualifications: Bachelor's or Master’s degree in Computer Science, Information Systems, Data Science, or a related field. 3+ years of experience in data engineering or data analytics roles. Proven experience with Power BI and Tableau – including dashboard design, DAX, calculated fields, and data blending. Proficiency in SQL and experience in data modeling and relational database design. Hands-on experience with data pipelines and orchestration using tools like Airflow, dbt, Apache Beam, or native cloud tools. Experience working with one or more cloud platforms – AWS, GCP, or Azure. Strong understanding of data warehousing concepts and tools such as Snowflake, BigQuery, Redshift, or Synapse. Preferred Skills: Experience with scripting in Python or Java for data processing. Familiarity with Git, CI/CD, and DevOps for data pipelines. Exposure to data governance, lineage, and catalog tools. Basic understanding of ML pipelines or advanced analytics is a plus. What We Offer: Competitive salary and benefits. Opportunity to work with modern cloud-native data stack. Collaborative, innovative, and data-driven work environment. Flexible working hours and remote work options. Show more Show less

About Analytix: Businesses of all sizes are faced with a rapidly changing competitive environment. Companies that possess both the ability to successfully navigate obstacles and the agility to react to market conditions are better positioned for long-term success. Analytix Solutions helps your company tackle these types of challenges. We empower business owners to confidently make informed decisions and positively impact profitability. We are a single-source provider of integrated solutions across multiple functional areas and disciplines. Through a combination of cross-disciplinary expertise, technological aptitude, and deep domain experience, we support our clients with efficient systems and processes, reliable data, and industry insights. We are your partner in strategically scaling your business for growth Website- Small Business Accounting Bookkeeping, Medical Billing, Audio Visual, IT Outsourcing Services (analytix.com) LinkedIn : Analytix Solutions: Overview | LinkedIn Analytix Business Solutions (India) Pvt. Ltd. : My Company | LinkedIn Job Description: Design, build, and maintain scalable, high-performance data pipelines and ETL/ELT processes across diverse database platforms. Architect and optimize data storage solutions to ensure reliability, security, and scalability. Leverage generative AI tools and models to enhance data engineering workflows, drive automation, and improve insight generation. Create and maintain comprehensive documentation for data systems, workflows, and models. Implement data modeling best practices and optimize data retrieval processes for better performance. Qualifications : Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field. 5–8 years of experience in data engineering, designing and managing large-scale data systems. Strong expertise in database technologies, including: - SQL Databases: PostgreSQL, MySQL, SQL Server , NoSQL Databases: MongoDB, Cassandra , Data Warehouse/ Unified Platforms: Snowflake, Redshift, BigQuery, Microsoft Fabric Proficiency in Python and SQL, with experience in data processing frameworks (e.g., Pandas, PySpark). Experience with ETL tools (e.g., Apache Airflow, MS Fabric, Informatica, Talend) and data pipeline orchestration platforms. Strong understanding of data architecture, data modeling, and data governance principles. Experience with cloud platforms (preferably Azure) and associated data services. Show more Show less

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description The Data Engineer will be responsible for development of data software applications, data platforms and data products. This Engineer will closely work with application engineers, data engineers, data scientists and CRM to design, document, develop, test and implement solutions. This engineer will work with other engineers, and individually contribute to the development including defining engineering standards, data analysis, data modeling, coding, testing/QA, code review, deployment, operational readiness, and agile management. Be a key contributor to deliver, on budget, high value complex projects Take technical responsibility for all stages and/or iterations in a software component Specify and ensure the design and development of technology solutions properly fulfills all business requirements Ensure project stakeholders receive regular communications about status of the work Anticipate change management requirements and ensure effective solution adoption by ensuring appropriate knowledge transfer, training and deployment readiness Document design approaches, code artifacts, communicate to and participate in knowledge sharing Provide technical guidance to associates, colleagues or customers Communicate difficult concepts and negotiate with others to adopt a different point of view Interpret internal/external business challenges and recommend best-practices to improve products, processes, or services Ability to work in multi-project environment and support multiple internal departments You will report to Manager Qualifications 5 to 7 years of experience as an engineer in data platform centric environments Extensive knowledge of data platform paradigms and software architecture Experience with cloud development on the Amazon Web Services (AWS) platform with services including API Gateway, Lambda, EC2, ECS, SQS, SNS, Dynamo DB, Redshift and Aurora Expert-level Pyspark, Python & SQL skills Ability to comprehend and implement detailed project specifications as well as the ability to adapt to various technologies and simultaneously work on multiple projects Proficiency in CI/CD tools (Jenkins, GitLab, etc.) Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Benefits Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer the best family well-being benefits, Enhanced medical benefits and paid time off. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Show more Show less

Good-day, We have immediate opportunity for AWS Devops Engineer Job Role: AWS Devops Engineer Job Location: Kharadi Pune Experience- 8 + Years Notice Period: Immediate to 30 Days About Company: At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,000+, and has 51 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community. Diversity, Equity, and Inclusion Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Roles/Responsibilities: Deployment, automation, management, and maintenance of AWS cloud-based production system. Ensuring availability, performance, security, and scalability of AWS production systems. Management of creation, release, and configuration of production systems. Evaluation of new technology alternatives and vendor products. System troubleshooting and problem resolution across various application domains and platforms. Pre-production acceptance testing for quality assurance. Provision of critical system security by leveraging best practices and prolific cloud security solutions. Providing recommendations for architecture and process improvements. Definition and deployment of systems for metrics, logging, and monitoring on AWS platform. Designing, maintenance and management of tools for automation of different operational processes. Develop policies, standards, and guidelines for IAC and CI/CD that teams can follow Tech Stack Operating systems: Linux OS. AWS - EKS , MSK , Open Search , RDS, Redshift, Glue, S3. Automation Tools : Terraform, Cloud formation CI Pipelines: Github Actions, Bamboo, CD Pipeline: ArgoCD, Versioning: Git Vulnerability tool: Snyk, Gitguardian, SonarQube. EKS orchestration: Rafay Monitoring: Prometheus, Grafana, Open Telemetry, Jaeger, AppDynamics and Splunk. Regards, Akshay Gurav Show more Show less

Company Description North Hires is a premier consulting firm offering Custom Software Development, Recruitment, Sourcing, and Executive Search services. Our team of professionals provides tailored recruitment solutions to organizations across the USA, UK, India, and EMEA. We aim to empower businesses with top-tier human capital, fostering growth and success. Role Description This is a full-time, on-site role for a Data Engineer located in Hyderabad. The Data Engineer will be responsible for data engineering, data modelling, ETL processes, data warehousing, and data analytics on a day-to-day basis. Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field 3–5 years of experience in a Data Engineering or related role Strong hands-on experience with SQL and Python Experience working with cloud platforms like Azure , AWS , or Google Cloud Familiarity with tools like Azure Data Factory , Apache Airflow , or Power BI Solid understanding of ETL/ELT processes and data pipeline architecture Experience with Azure SQL , Synapse , Redshift , or other modern databases Version control experience (GitHub, Azure DevOps, etc.) Strong problem-solving and communication skills Ability to work independently and collaboratively in a hybrid setup Note: Candidates must be based in Hyderabad and willing to work from the office 2–3 times a week. Share your resumes at madiha@northhires.com Show more Show less

About Company provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes Experience: 7 to 10 Years Qualifications Must Have: Experience in handling team members Proficiency in working with cloud platforms (AWS, Azure, GCP) Experience in SQL, NoSQL, and Data Modelling Experience in Python programming Experience in Design, Development, and Deployment of Data Architecture Experience 8+ years of experience in data engineering with hands-on expertise in data pipeline development, architecture, and system optimization Demonstrated success in managing global teams, especially across US and India time zones. Proven track record in leading data engineering teams and managing end-to-end project delivery. Strong background in data warehousing and familiarity with tools such as Matillion, dbt, Striim, etc. Hands-on experience of 2+ years in designing and developing data integration solutions using Matillion and/or dbt Expertise in architecting data solutions. Successfully implemented at least two end-to-end projects with multiple transformation layers. Technical Skills Lead the design, development, and deployment of scalable data architectures, pipelines, and processes tailored to client needs Expertise in programming languages such as Python, Scala, or Java. Proficiency in designing and delivering data pipelines in Cloud Data Warehouses (e.g., Snowflake, Redshift), using various ETL/ELT tools such as Matillion, dbt, Striim, etc. Solid understanding of database systems (relational and NoSQL) and data modeling techniques. Strong knowledge of data engineering and integration frameworks. Good grasp of coding standards, with the ability to define standards and testing strategies for projects. Proficiency in working with cloud platforms (AWS, Azure, GCP) and associated data services. Enthusiastic about working in Agile methodology. Possess a comprehensive understanding of the DevOps process including GitHub integration and CI/CD pipelines. Skills: integration,agile methodology,etl/elt tools (matillion, dbt, striim),ci/cd,data modeling,aws,ci/cd pipelines,data modelling,github,cloud platforms (aws, azure, gcp),data warehousing,striim,team management,data architecture design,data pipeline development,architecture,database systems,etl/elt tools,devops,scala,nosql,matillion,python,team leadership,data architecture design and development,data engineering,sql,redshift,data integration,dbt,java,pipelines,snowflake,devops processes,python programming,azure Show more Show less

Primary skills: Technology->Cloud Platform->AWS App Development->Amazon Redshift A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Show more Show less

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Data Engineer III Expedia Group’s CTO Enablement team is looking for a highly motivated Data Engineer III to lead the design, delivery, and stewardship of business-critical data infrastructure that powers our Capitalization program and Business Operations functions . This role is at the intersection of finance, strategy, and engineering , where data precision and operational rigor directly support the company’s financial integrity and execution effectiveness. You will collaborate with stakeholders across Finance, BizOps, and Technology to build scalable data solutions that ensure capitalization accuracy, enable deep operational analytics, and streamline financial and business reporting at scale. What you will do: Design, build, and maintain high-scale data pipelines and transformation logic to support CapEx/OpEx classification, capitalization tracking, and operational data modeling. Deliver clean, well-documented, governed datasets that drive finance reporting, strategic planning, and key operational dashboards. Partner with cross-functional teams (Finance, Engineering, Strategy) to translate business and compliance requirements into technical solutions. Lead the development of data models and ETL processes to support performance monitoring, workforce utilization, project financials, and business KPIs. Establish and enforce data quality, lineage, and access control standards to ensure trust in business-critical data. Proactively identify and resolve data reliability issues related to financial close processes, budget tracking, and capitalization rules. Serve as a technical advisor to BizOps and Finance stakeholders, recommending improvements in tooling, architecture, and process automation. Mentor other engineers and contribute to the growth of a high-performance data team culture. Who you are: 6+ years of experience in data engineering , analytics engineering , or data infrastructure roles with a focus on operational and financial data. Expertise in SQL and Python , and experience with data pipeline orchestration tools such as Airflow , dbt , or equivalent. Strong understanding of cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift, or Databricks). Deep familiarity with capitalization standards , CapEx/OpEx distinction, and operational reporting in a tech-driven environment. Demonstrated ability to build scalable, reliable ETL/ELT workflows that serve diverse analytical and reporting needs. Experience working cross-functionally in complex organizations with multiple stakeholder groups. Passion for operational excellence, data governance, and driving actionable business insights from data. Preferred qualifications: Experience supporting BizOps , FP&A , or Product Finance teams with data tooling and reporting. Familiarity with BI platforms like Looker , Power BI , or Tableau . Exposure to agile delivery frameworks and enterprise-level operational rhythms. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. India - Haryana - Gurgaon Technology Full-Time Regular 06/10/2025 ID # R-95367

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for designing, building and overseeing the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Work with data modelers/analysts to understand the business problems they are trying to solve then create or augment data assets to feed their analysis. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise. Job Description Position: Data Engineer 4 Experience: 8 years to 11.5 years Job Location: Chennai Tamil Nadu Job Description: Requirements Databases: Deep knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, Couchbase). ( MUST) Big Data Technologies: Experience with, Spark, Kafka, and other big data ecosystem tools. (NICE TO HAVE) Cloud Platforms: Experience with cloud services such as AWS, Azure, or Google Cloud Platform, with a particular focus on data engineering services . ( NICE TO HAVE ) Version Control: Experience with version control systems like Git. ( MUST) CI/CD: Knowledge of CI/CD pipelines for automating development and deployment processes. (MUST) Proficiency in Elasticsearch and experience managing large-scale clusters. ( MUST) Hands-on experience with containerization technologies like Docker and Kubernetes. (MUST docker) Strong programming skills in scripting languages such as Python, Bash, or similar. ( NICE to HAVE) Key Responsibilities Design, develop, and maintain scalable data pipelines and infrastructure. Ensure compliance with security regulations and implement advanced security measures to protect company data. Implement and manage CI/CD pipelines for data applications. Work with containerization technologies (Docker, Kubernetes) to deploy and manage data services. Optimize and manage Elasticsearch clusters for log ingestion , and tools such as Logstash, fluent.d , promtail, used to forward logs to Elastic Istance or other Log ingestion Tool . ( Loki+ Grafana). Collaborate with other departments (e.g., Data Science, IT, DevOps) to integrate data solutions with existing business systems. Optimize the performance of data pipelines and resolve data integrity and quality issues. Document data processes and architectures to ensure transparency and facilitate maintenance. Monitor industry trends and adopt best practices to continuously improve our data engineering solutions. Core Responsibilities Develops data structures and pipelines aligned to established standards and guidelines to organize, collect, standardize and transform data that helps generate insights and address reporting needs. Focuses on ensuring data quality during ingest, processing as well as final load to the target tables. Creates standard ingestion frameworks for structured and unstructured data as well as checking and reporting on the quality of the data being processed. Creates standard methods for end users / downstream applications to consume data including but not limited to database views, extracts and Application Programming Interfaces. Develops and maintains information systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces. Participates in the implementation of solutions via data architecture, data engineering, or data manipulation on both on-prem platforms like Kubernetes and Teradata as well as Cloud platforms like Databricks. Determines the appropriate storage platform across different on-prem (minIO and Teradata) and Cloud (AWS S3, Redshift) depending on the privacy, access and sensitivity requirements. Understands the data lineage from source to the final semantic layer along with the transformation rules applied to enable faster troubleshooting and impact analysis during changes. Collaborates with technology and platform management partners to optimize data sourcing and processing rules to ensure appropriate data quality as well as process optimization. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Develops strategies for data acquisition, archive recovery, and database implementation. Manages data migrations/conversions and troubleshooting data processing issues. Understands the data sensitivity, customer data privacy rules and regulations and applies them consistently in all Information Lifecycle Management activities. Identifies and reacts to system notification and log to ensure quality standards for databases and applications. Solves abstract problems beyond single development language or situation by reusing data file and flags already set. Solves critical issues and shares knowledge such as trends, aggregate, quantity volume regarding specific data sources. Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. Other duties and responsibilities as assigned. Employees at all levels are expected to: Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team - make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. Drive results and growth. Respect and promote inclusion & diversity. Do what's right for each other, our customers, investors and our communities. Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 7-10 Years

Overview Our analysts transform data into meaningful insights that drive strategic decision making. They analyze trends, interpret data, and discover opportunities. Working cross-functionally, they craft narratives from the numbers - directly contributing to our success. Their work influences key business decisions and shape the direction of Comcast. Success Profile What makes a successful Data Engineer 4 at Comcast? Check out these top traits and explore role-specific skills in the job description below. Good Listener Problem Solver Organized Collaborative Perceptive Analytical Benefits We’re proud to offer comprehensive benefits to help support you physically, financially and emotionally through the big milestones and in your everyday life. Paid Time off We know how important it can be to spend time away from work to relax, recover from illness, or take time to care for others needs. Physical Wellbeing We offer a range of benefits and support programs to ensure that you and your loved ones get the care you need. Financial Wellbeing These benefits give you personalized support designed entirely around your unique needs today and for the future. Emotional Wellbeing No matter how you’re feeling or what you’re dealing with, there are benefits to help when you need it, in the way that works for you. Life Events + Family Support Benefits that support you no matter where you are in life’s journey. Data Engineer 4 Location Chennai, India Req ID R412866 Job Type Full Time Category Analytics Date posted 06/10/2025 Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for designing, building and overseeing the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Work with data modelers/analysts to understand the business problems they are trying to solve then create or augment data assets to feed their analysis. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise. Job Description Position: Data Engineer 4 Experience: 8 years to 11.5 years Job Location: Chennai Tamil Nadu Job Description: Requirements Databases: Deep knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, Couchbase). ( MUST) Big Data Technologies: Experience with, Spark, Kafka, and other big data ecosystem tools. (NICE TO HAVE) Cloud Platforms: Experience with cloud services such as AWS, Azure, or Google Cloud Platform, with a particular focus on data engineering services . ( NICE TO HAVE ) Version Control: Experience with version control systems like Git. ( MUST) CI/CD: Knowledge of CI/CD pipelines for automating development and deployment processes. (MUST) Proficiency in Elasticsearch and experience managing large-scale clusters. ( MUST) Hands-on experience with containerization technologies like Docker and Kubernetes. (MUST docker) Strong programming skills in scripting languages such as Python, Bash, or similar. ( NICE to HAVE) Key Responsibilities Design, develop, and maintain scalable data pipelines and infrastructure. Ensure compliance with security regulations and implement advanced security measures to protect company data. Implement and manage CI/CD pipelines for data applications. Work with containerization technologies (Docker, Kubernetes) to deploy and manage data services. Optimize and manage Elasticsearch clusters for log ingestion , and tools such as Logstash, fluent.d , promtail, used to forward logs to Elastic Istance or other Log ingestion Tool . ( Loki+ Grafana). Collaborate with other departments (e.g., Data Science, IT, DevOps) to integrate data solutions with existing business systems. Optimize the performance of data pipelines and resolve data integrity and quality issues. Document data processes and architectures to ensure transparency and facilitate maintenance. Monitor industry trends and adopt best practices to continuously improve our data engineering solutions. Core Responsibilities Develops data structures and pipelines aligned to established standards and guidelines to organize, collect, standardize and transform data that helps generate insights and address reporting needs. Focuses on ensuring data quality during ingest, processing as well as final load to the target tables. Creates standard ingestion frameworks for structured and unstructured data as well as checking and reporting on the quality of the data being processed. Creates standard methods for end users / downstream applications to consume data including but not limited to database views, extracts and Application Programming Interfaces. Develops and maintains information systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces. Participates in the implementation of solutions via data architecture, data engineering, or data manipulation on both on-prem platforms like Kubernetes and Teradata as well as Cloud platforms like Databricks. Determines the appropriate storage platform across different on-prem (minIO and Teradata) and Cloud (AWS S3, Redshift) depending on the privacy, access and sensitivity requirements. Understands the data lineage from source to the final semantic layer along with the transformation rules applied to enable faster troubleshooting and impact analysis during changes. Collaborates with technology and platform management partners to optimize data sourcing and processing rules to ensure appropriate data quality as well as process optimization. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Develops strategies for data acquisition, archive recovery, and database implementation. Manages data migrations/conversions and troubleshooting data processing issues. Understands the data sensitivity, customer data privacy rules and regulations and applies them consistently in all Information Lifecycle Management activities. Identifies and reacts to system notification and log to ensure quality standards for databases and applications. Solves abstract problems beyond single development language or situation by reusing data file and flags already set. Solves critical issues and shares knowledge such as trends, aggregate, quantity volume regarding specific data sources. Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. Other duties and responsibilities as assigned. Employees at all levels are expected to: Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team - make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. Drive results and growth. Respect and promote inclusion & diversity. Do what's right for each other, our customers, investors and our communities. Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 7-10 Years

Role & responsibilities AWS Architect Primary skills Aws (Redshift, Glue, Lambda, ETL and Aurora), advance SQL and Python , Pyspark Note : -Aurora Database mandatory skill Experience – 8 + yrs Notice period – Immediate joiner Location – Any Brillio location (Preferred is Bangalore) Job Description: year of IT experiences with deep expertise in S3, Redshift, Aurora, Glue and Lambda services. Atleast one instance of proven experience in developing Data platform end to end using AWS Hands-on programming experience with Data Frames, Python, and unit testing the python as well as Glue code. Experience in orchestrating mechanisms like Airflow, Step functions etc. Experience working on AWS redshift is Mandatory. Must have experience writing stored procedures, understanding of Redshift data API and writing federated queries Experience in Redshift performance tunning.Good in communication and problem solving. Very good stakeholder communication and management Preferred candidate profile

Step into role of a Senior Data Engineer. At Barclays, innovation isn’t encouraged, its expected. As a Senior Data Engineer you will build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. To be a successful Senior Data Engineer, you should have experience with: Hands on experience to work with large scale data platforms & developing cloud solutions in AWS data platform with proven track record in driving business success. Strong understanding of AWS and distributed computing paradigms, ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue, Lambda, S3, redshift and snowflake and data bricks. Ability to develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies. Hands on programming experience in python and PY-Spark. Understanding of Dev Ops Pipelines using Jenkins, GitLab & should be strong in data modelling and Data architecture concepts & well versed with Project management tools and Agile Methodology. Sound knowledge of data governance principles and tools (alation/glue data quality, mesh), Capable of suggesting solution architecture for diverse technology applications. Additional Relevant Skills Given Below Are Highly Valued Experience working in financial services industry & working in various Settlements and Sub ledger functions like PNS, Stock Record and Settlements, PNL. Knowledge in BPS, IMPACT & Gloss products from Broadridge & creating ML model using python, Spark & Java. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. 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Job Description Manager, Data Visualization Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of the company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview A unique opportunity to be part of an Insight & Analytics Data hub for a leading biopharmaceutical company and define a culture that creates a compelling customer experience. Bring your entrepreneurial curiosity and learning spirit into a career of purpose, personal growth, and leadership. We are seeking those who have a passion for using data, analytics, and insights to drive decision-making that will allow us to tackle some of the world's greatest health threats As a Manager in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Our Quantitative Sciences team use big data to analyze the safety and efficacy claims of our potential medical breakthroughs. We review the quality and reliability of clinical studies using deep scientific knowledge, statistical analysis, and high-quality data to support decision-making in clinical trials. What Will You Do In This Role Design & develop user-centric data visualization solutions utilizing complex data sources. Identify & define key business metrics and KPIs in partnership with business stakeholders. Define & develop scalable data models in alignment & support from data engineering & IT teams. Lead UI UX workshops to develop user stories, wireframes & develop intuitive visualizations. Collaborate with data engineering, data science & IT teams to deliver business friendly dashboard & reporting solutions. Apply best practices in data visualization design & continuously improve upon intuitive user experience for business stakeholders. Provide thought leadership and data visualization best practices to the broader Data & Analytics organization. Identify opportunities to apply data visualization technologies to streamline & enhance manual / legacy reporting deliveries. Provide training & coaching to internal stakeholders to enable a self-service operating model. Co-create information governance & apply data privacy best practices to solutions. Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace. What Should You Have 5 years’ relevant experience in data visualization, infographics, and interactive visual storytelling Working experience and knowledge in Power BI / QLIK / Spotfire / Tableau and other data visualization technologies Working experience and knowledge in ETL process, data modeling techniques & platforms (Alteryx, Informatica, Dataiku, etc.) Experience working with Database technologies (Redshift, Oracle, Snowflake, etc) & data processing languages (SQL, Python, R, etc.) Experience in leveraging and managing third party vendors and contractors. Self-motivation, proactivity, and ability to work independently with minimum direction. Excellent interpersonal and communication skills Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively. Demonstrated ability to collaborate and lead with diverse groups of work colleagues and positively manage ambiguity. Experience in Pharma and or Biotech Industry is a plus. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Remote Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs Preferred Skills Job Posting End Date 07/9/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R329043 Show more Show less

Job Description Team Summary: The Risk and Identity Solutions (RaIS) team provides risk management services for banks, merchants, and other payment networks. Machine learning and AI models are the heart of the real-time insights used by our clients to manage risk. Created by the Visa Predictive Models (VPM) team, continual improvement and efficient deployment of these models is essential for our future success. To support our rapidly growing suite of predictive models we are looking for engineers who are passionate about managing large volumes of data, creating efficient, automated processes and standardizing ML/AI tools. Primary responsibilities Possess a strong understanding of data interpretation, and the ability to effectively represent data using appropriate visualization techniques to deliver actionable insights. Focus on the user experience to design interactive prototype with strong understanding of business context and data following the industry and Visa best practices. Collect, analyze, transform, and interpret raw data from various sources. Design and develop BI solutions, data models and KPI measures to solve business problems. Ability to create visualizations that are user-friendly, intuitive, and tailored to the needs of the end user, ensuring that the visual elements effectively convey the intended message. Develop and maintain interactive dashboards and reports using BI tools such as Power BI using visual elements like charts, graphs, maps, visual design principles. Ensure dashboards and reports are functioning correctly, meet user requirements, and provide accurate, up-to-date insights and perform bug triage by systematically testing data visualizations for accuracy and functionality, identifying issues, prioritizing their resolution based on severity and impact, and ensuring all bugs are fixed in a timely manner. Optimize dashboard performance by enhancing data processing speeds, improving query performance, and refining data models to ensure efficient, reliable, and timely data retrieval and analysis for business intelligence applications. Ensure the security of data and BI solutions, implement data security measures, complying with all relevant regulations and best practices. Set up and maintain the data visualization platform, manage access controls, and ensure system's overall health and performance using usage reports. Document all processes, methodologies, and instructions related to the BI solutions, create comprehensive and accessible documentation, conduct end-user training sessions, and ensure all documentation is consistently updated and available to relevant stakeholders. Technical skills (Must have) Expertise in LOD( Level of Detail), DAX(Data Analysis Expressions), Power Query, M language, Tableau Prep to create measures and transform data. Proficiency in data visualization tools such as Power BI. Advanced proficiency in SQL, including a deep understanding of queries, joins, stored procedures, triggers, and views, as well as experience in optimizing SQL for improved performance and efficiency. Comfortable with creating and maintaining database schemas, indexes, and writing complex SQL scripts for data analysis and extraction Experience in interacting with data warehouses and data lakes, utilizing tools like pyspark, Apache Hadoop Amazon Redshift, snowflake and Amazon S3 to ingest and extract data for insights. Non-technical skills Experienced in working closely with cross-functional teams and stakeholders to ensure understanding and usability of data visualizations. Continually stays updated with the latest trends and advancements in data visualization techniques and tools. Excellent problem-solving skills and strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Excellent communication and interpersonal skills for managing relationships with stakeholders, strong presentation skills to effectively communicate data insights and visualizations to diverse audiences, with the ability to tailor the presentation to the audience's level of expertise. Ability to plan, prioritize, and manage time effectively, keep track of tasks and deadlines, maintain a tidy and systematic work environment, and coordinate resources to achieve goals in a timely and efficient manner. Take full responsibility for the BI projects, ensuring accurate and timely delivery of insights, and addressing any issues or inaccuracies in the data promptly and effectively. Qualifications 5+ years of relevant work experience with a bachelor’s degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Bachelor’s degree in computer science, Engineering, or a related field. Proven experience as a BI Engineer / Visualization developer or similar role for 6+ years. Show more Show less

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Manager Technology – US Commercial Data & Analytics What You Will Do Let’s do this. Let’s change the world. In this vital role you will lead the engagement model between Amgen's Technology organization and our global business partners in Commercial Data & Analytics. We seek a technology leader with a passion for innovation and a collaborative working style that partners effectively with business and technology leaders. Are you interested in building a team that consistently delivers business value in an agile model using technologies such as AWS, Databricks, Airflow, and Tableau? Come join our team! Roles & Responsibilities: Establish an effective engagement model to collaborate with senior leaders on the Sales Insights product team within the Commercial Data & Analytics organization, focused on operations within the United States Serve as the technology product owner for an agile product team committed to delivering business value to Commercial stakeholders via data pipeline buildout for sales data Lead and mentor junior team members to deliver on the needs of the business Interact with business clients and technology management to create technology roadmaps, build cases, and drive DevOps to achieve the roadmaps Help to mature Agile operating principles through deployment of creative and consistent practices for user story development, robust testing and quality oversight, and focus on user experience Ability to connect and understand our vast array Commercial and other functional data sources including Sales, Activity, and Digital data, etc. into consumable and user-friendly modes (e.g., dashboards, reports, mobile, etc.) for key decision makers such as executives, brand leads, account managers, and field representatives. Become the lead subject matter expert in reporting technology capabilities by researching and implementing new tools and features, internal and external methodologies What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree with 8 - 10 years of experience in Information Systems experience OR Bachelor’s degree with 10 - 14 years of experience in Information Systems experience OR Diploma with 14 - 18 years of experience in Information Systems experience Must-Have Skills Excellent problem-solving skills and a passion for tackling complex challenges in data and analytics with technology Experience leading data and analytics teams in a Scaled Agile Framework (SAFe) Excellent interpersonal skills, strong attention to detail, and ability to influence based on data and business value Ability to build compelling business cases with accurate cost and effort estimations Has experience with writing user requirements and acceptance criteria in agile project management systems such as Jira Ability to explain sophisticated technical concepts to non-technical clients Strong understanding of sales and incentive compensation value streams Preferred Qualifications: Jira Align & Confluence experience Experience of DevOps, Continuous Integration, and Continuous Delivery methodology Understanding of software systems strategy, governance, and infrastructure Experience in managing product features for PI planning and developing product roadmaps and user journeys Familiarity with low-code, no-code test automation software Technical thought leadership Soft Skills: Able to work effectively across multiple geographies (primarily India, Portugal, and the United States) under minimal supervision Demonstrated proficiency in written and verbal communication in English language Skilled in providing oversight and mentoring team members. Demonstrated ability in effectively delegating work Intellectual curiosity and the ability to question partners across functions Ability to prioritize successfully based on business value High degree of initiative and self-motivation Ability to manage multiple priorities successfully across virtual teams Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Technical Skills: ETL tools: Experience in ETL tools such as Databricks Redshift or equivalent cloud-based dB Big Data, Analytics, Reporting, Data Lake, and Data Integration technologies S3 or equivalent storage system AWS (similar cloud-based platforms) BI Tools (Tableau and Power BI preferred) What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable 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 contact us to request accommodation. Show more Show less

Data Engineer Must have 9+ years of experience in below mentioned skills. Must Have: Big Data Concepts Python(Core Python- Able to write code), SQL, Shell Scripting, AWS S3 Good to Have: Event-driven/AWA SQS, Microservices, API Development,Kafka, Kubernetes, Argo, Amazon Redshift, Amazon Aurora Show more Show less

Job Summary We are looking for a highly creative and skilled 3D and Motion Graphic Designer to join our team. The ideal candidate will have a strong passion for storytelling through design and animation, combining cutting-edge 3D modeling with visually compelling motion graphics. You will work closely with our creative team to deliver high-quality visuals that captivate and engage our audience. Key Responsibilities Conceptualize, design, and create 3D models, animations, and motion graphics for various media, including advertisements, social media, presentations, and video content. Collaborate with the creative team to develop design concepts and storyboards based on project requirements. Design and animate dynamic motion graphics using software like After Effects, Blender, or Cinema 4D. Develop photorealistic textures, lighting, and rendering to enhance the quality of 3D assets. Integrate motion graphics seamlessly with live-action footage and other multimedia assets. Stay updated with the latest design trends, tools, and techniques in 3D and motion graphics. Manage multiple projects simultaneously while meeting deadlines and maintaining quality standards. Optimize 3D assets and animations for various platforms and formats. Qualification Technical Skills Proficiency in 3D software like Blender, Cinema 4D, Maya, or equivalen Expertise in motion graphics tools such as Adobe After Effects and Adobe Premiere Pro. Knowledge of texturing and rendering tools like Substance Painter, Redshift, or Arnold. Familiarity with graphic design tools like Adobe Photoshop and Illustrator. Experience with video editing and compositing. Strong understanding of typography, color theory, and visual storytelling. Soft Skills Exceptional creativity and attention to detail. Strong communication and collaboration skills. Ability to take constructive feedback and iterate on designs. Effective time management and organizational skills. Preferred Skills Experience with AR/VR and immersive media. Knowledge of real-time rendering engines like blender, 3D max, Unreal Engine or Unity. Experience in sound design and audio editing. Experience in Product Videos. What We Offer: Opportunity to work on exciting projects with a talented team. Access to professional development and learning resources. A creative and dynamic work environment.

About Company provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes Experience: 7 to 10 Years Qualifications Must Have: Experience in handling team members Proficiency in working with cloud platforms (AWS, Azure, GCP) Experience in SQL, NoSQL, and Data Modelling Experience in Python programming Experience in Design, Development, and Deployment of Data Architecture Experience 8+ years of experience in data engineering with hands-on expertise in data pipeline development, architecture, and system optimization Demonstrated success in managing global teams, especially across US and India time zones. Proven track record in leading data engineering teams and managing end-to-end project delivery. Strong background in data warehousing and familiarity with tools such as Matillion, dbt, Striim, etc. Hands-on experience of 2+ years in designing and developing data integration solutions using Matillion and/or dbt Expertise in architecting data solutions. Successfully implemented at least two end-to-end projects with multiple transformation layers. Technical Skills Lead the design, development, and deployment of scalable data architectures, pipelines, and processes tailored to client needs Expertise in programming languages such as Python, Scala, or Java. Proficiency in designing and delivering data pipelines in Cloud Data Warehouses (e.g., Snowflake, Redshift), using various ETL/ELT tools such as Matillion, dbt, Striim, etc. Solid understanding of database systems (relational and NoSQL) and data modeling techniques. Strong knowledge of data engineering and integration frameworks. Good grasp of coding standards, with the ability to define standards and testing strategies for projects. Proficiency in working with cloud platforms (AWS, Azure, GCP) and associated data services. Enthusiastic about working in Agile methodology. Possess a comprehensive understanding of the DevOps process including GitHub integration and CI/CD pipelines. Skills: sql,data integration,matillion,redshift,nosql,java,data architecture design,devops,aws,data warehousing,azure,architecture,data pipeline development,agile methodology,pipelines,etl/elt tools,ci/cd,dbt,data engineering,integration,team management,scala,data modeling,striim,github,cloud platforms (aws, azure, gcp),snowflake,python Show more Show less

Role We are looking for a Test Engineer who will become part of our team building and testing the Creditsafe data. You will be working closely with the database teams and data engineering to build specific systems facilitating the extraction and transformation of Creditsafe data. Based on the test strategy and approach you will develop, enhance and execute tests that add value to Creditsafe data. You will act as a primary source of guidance to Junior Test Engineers and Test Engineers in all areas of data quality. You will contribute to the team using data quality best practices and techniques. You can confidently communicate test results with your team members and stakeholders using evidence and reports. You act as a mentor and coach to the less experienced members of the test team. You will promote and coach leading practices in data test management, design, and implementation. You will be part of an Agile team and will effectively contribute to the ceremonies, acting as the quality specialist within that team. You are an influencer and will provide leadership in defining and implementing agreed standards and will actively promote this within your team and the wider development community. The ideal candidate has extensive experience in mentorship and leading by example and is able to communicate values consistentwith the Creditsafe philosophy of engagement. You have critical thinking skills and can diplomatically communicate within, and outside their areas of responsibility, challenging assumptions where required. Required Skills Proven working experience as a data test engineer or business data analyst or ETL tester. Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge of and experience with SQL databases Hands on experience of best engineering practices (handling and logging errors, system monitoring and building human-fault-tolerant applications) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc.) is an advantage. Comfortable working with relational databases such as Redshift, Oracle, PostgreSQL, MySQL, and MariaDB (PostgreSQL preferred) Required Skills Proven working experience as a data test engineer or business data analyst or ETL tester. Technical expertise regarding data models, database design development, data mining and segmentationtechniques Strong knowledge of and experience with SQL databases Hands on experience of best engineering practices (handling and logging errors, system monitoring and buildinghuman-fault-tolerant applications) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc.) isan advantage. Comfortable working with relational databases such as Redshift, Oracle, PostgreSQL, MySQL, and MariaDB(PostgreSQL preferred)Required Skills Proven working experience as a data test engineer or business data analyst or ETL tester. Technical expertise regarding data models, database design development, data mining and segmentationtechniques Strong knowledge of and experience with SQL databases Hands on experience of best engineering practices (handling and logging errors, system monitoring and buildinghuman-fault-tolerant applications) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc.) isan advantage. Comfortable working with relational databases such as Redshift, Oracle, PostgreSQL, MySQL, and MariaDB(PostgreSQL preferred)Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts ofinformation with attention to detail and accuracy Adept at queries, report writing and presenting findings. BS in Mathematics, Economics, Computer Science, Information Management or Statistics is desirable but notessential A good understanding of cloud technology, preferably AWS and/or Azure DevOps A practical understanding of programming JavaScript, Python Excellent communication skills Practical experience of testing in an Agile approachDesirable Skills An understanding of version control systems Practical experience of conducting code reviews Practical experience of pair testing and pair programmingStrong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts ofinformation with attention to detail and accuracy Adept at queries, report writing and presenting findings. BS in Mathematics, Economics, Computer Science, Information Management or Statistics is desirable but notessential A good understanding of cloud technology, preferably AWS and/or Azure DevOps A practical understanding of programming JavaScript, Python Excellent communication skills Practical experience of testing in an Agile approachDesirable Skills An understanding of version control systems Practical experience of conducting code reviews Practical experience of pair testing and pair programming

Description The Position We are seeking a seasoned engineer with a passion for changing the way millions of people save energy. You’ll work within the Deliver and Operate team to build and improve our platforms to deliver flexible and creative solutions to our utility partners and end users and help us achieve our ambitious goals for our business and the planet. We are seeking a highly skilled and detail-oriented Software Engineer II for Data Operations team to maintain our data infrastructure, pipelines, and work-flows. You will play a key role in ensuring the smooth ingestion, transformation, validation, and delivery of data across systems. This role is ideal for someone with a strong understanding of data engineering and operational best practices who thrives in high-availability environments. Responsibilities & Skills You should: Monitor and maintain data pipelines and ETL processes to ensure reliability and performance. Automate routine data operations tasks and optimize workflows for scalability and efficiency. Troubleshoot and resolve data-related issues, ensuring data quality and integrity. Collaborate with data engineering, analytics, and DevOps teams to support data infrastructure. Implement monitoring, alerting, and logging systems for data pipelines. Maintain and improve data governance, access controls, and compliance with data policies. Support deployment and configuration of data tools, services, and platforms. Participate in on-call rotation and incident response related to data system outages or failures. Required Skills 5+ years of experience in data operations, data engineering, or a related role. Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL). Proficiency with data pipeline tools (e.g., Apache Airflow). Experience with cloud platforms (AWS, GCP) and cloud-based data services (e.g., Redshift, BigQuery). Hands ob experience with scripting languages such as Python, Bash, or Shell. Knowledge of version control (e.g., Git) and CI/CD workflows. Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Experience with data observability tools (e.g., Splunk, DataDog). Background in DevOps or SRE with focus on data systems. Exposure to infrastructure-as-code (e.g., Terraform, CloudFormation). Knowledge of streaming data platforms (e.g., Kafka, Spark Streaming). Show more Show less

Description The Position We are seeking a seasoned engineer with a passion for changing the way millions of people save energy. You’ll work within the Deliver and Operate team to build and improve our platforms to deliver flexible and creative solutions to our utility partners and end users and help us achieve our ambitious goals for our business and the planet. We are seeking a highly skilled and detail-oriented Software Engineer I for Data Operations team to maintain our data infrastructure, pipelines, and work-flows. You will play a key role in ensuring the smooth ingestion, transformation, validation, and delivery of data across systems. This role is ideal for someone with a strong understanding of data engineering and operational best practices who thrives in high-availability environments. Responsibilities & Skills You should: Monitor and maintain data pipelines and ETL processes to ensure reliability and performance. Automate routine data operations tasks and optimize workflows for scalability and efficiency. Troubleshoot and resolve data-related issues, ensuring data quality and integrity. Collaborate with data engineering, analytics, and DevOps teams to support data infrastructure. Implement monitoring, alerting, and logging systems for data pipelines. Maintain and improve data governance, access controls, and compliance with data policies. Support deployment and configuration of data tools, services, and platforms. Participate in on-call rotation and incident response related to data system outages or failures. Required Skills 2 to 4 years of experience in data operations, data engineering, or a related role. Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL). Proficiency with data pipeline tools (e.g., Apache Airflow). Experience with cloud platforms (AWS, GCP) and cloud-based data services (e.g., Redshift, BigQuery). Familiarity with scripting languages such as Python, Bash, or Shell. Knowledge of version control (e.g., Git) and CI/CD workflows. Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Experience with data observability tools (e.g., Splunk, DataDog). Background in DevOps or SRE with focus on data systems. Exposure to infrastructure-as-code (e.g., Terraform, CloudFormation). Knowledge of streaming data platforms (e.g., Kafka, Spark Streaming). Show more Show less

We are seeking an experienced AWS Architect with a strong background in designing and implementing cloud-native data platforms. The ideal candidate should possess deep expertise in AWS services such as S3, Redshift, Aurora, Glue, and Lambda, along with hands-on experience in data engineering and orchestration tools. Strong communication and stakeholder management skills are essential for this role. Key Responsibilities Design and implement end-to-end data platforms leveraging AWS services. Lead architecture discussions and ensure scalability, reliability, and cost-effectiveness. Develop and optimize solutions using Redshift, including stored procedures, federated queries, and Redshift Data API. Utilize AWS Glue and Lambda functions to build ETL/ELT pipelines. Write efficient Python code and data frame transformations, along with unit testing. Manage orchestration tools such as AWS Step Functions and Airflow. Perform Redshift performance tuning to ensure optimal query execution. Collaborate with stakeholders to understand requirements and communicate technical solutions clearly. Required Skills & Qualifications Minimum 9 years of IT experience with proven AWS expertise. Hands-on experience with AWS services: S3, Redshift, Aurora, Glue, and Lambda . Mandatory experience working with AWS Redshift , including stored procedures and performance tuning. Experience building end-to-end data platforms on AWS . Proficiency in Python , especially working with data frames and writing testable, production-grade code. Familiarity with orchestration tools like Airflow or AWS Step Functions . Excellent problem-solving skills and a collaborative mindset. Strong verbal and written communication and stakeholder management abilities. Nice to Have Experience with CI/CD for data pipelines. Knowledge of AWS Lake Formation and Data Governance practices.