About The Company Implement Architecture and design from definition phase to go-live the Role : Work with the business analyst and SMEs to understand the current landscape priorities. Define conceptual and low-level model of using AI technology. Review design to make sure design is aligned with Architecture. Handson development of AI lead solution. Implement entire data pipeline of data crawling, ETL, creating Fact Tables, Data quality management etc. Integrate with multiple system using API or Web Services or data exchange mechanism. Build interfaces that gather data from various data sources such as: flat files, data extracts & incoming feeds from various data sources as well as directly interfacing with enterprise applications. Ensure that the solution is scalable, maintainable, and meet the best practices for security, performance and data management. Owning research assignments and development. Leading, developing and assisting developers & other team members. Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project. Define and deliver against the solution benefits statement. Positively and constructively engage with clients and operations teams efforts where : Implement Architecture and design from definition phase to go-live phase. Work with the business analyst and SMEs to understand the current landscape priorities. Define conceptual and low-level model of using AI technology. Review design to make sure design is aligned with Architecture. Handson development of AI lead solution. Implement entire data pipeline of data crawling, ETL, creating Fact Tables, Data quality management etc. Integrate with multiple system using API or Web Services or data exchange mechanism. Build interfaces that gather data from various data sources such as: flat files, data extracts & incoming feeds from various data sources as well as directly interfacing with enterprise applications. Ensure that the solution is scalable, maintainable, and meet the best practices for security, performance and data management. Owning research assignments and development. Leading, developing and assisting developers & other team members. Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project. Define and deliver against the solution benefits statement. Positively and constructively engage with clients and operations teams efforts where : A Bachelor's degree in Computer Science, Software Engineering, or a related Skills : Minimum 5 years of IT experience including 3+ years of experience as Full stack developer preferably using Python skills 2+ years of hands-on experience in Azure Data factory, Azure Databricks / Spark (familiarity with fabric), Azure Data Lake storage (Gen1/Gen2), Azure Synapse/SQL DW Expertise in designing/deploying data pipeline, from data crawling, ETL, Data warehousing, data applications on Azure Experienced in AI technology including: Machine Learning algorithms, Natural Language Processing, Deep Learning, Image Recognition, Speech Recognition etc. Proficient in programming languages like Python (Full Stack exposure) Proficient in dealing with all the layers in solution; multi-channel presentation, business logic in middleware, data access layer, RDBMS | NO-SQL; E.g. MySQL, MongoDB, Cassendra, SQL Server DBs Familiar with Vector DB such as: FAISS, CromaDB, PineCone, Weaveate, Feature Store Experience in implementing and deploying applications on Azure Proficient in creating technical documents like Architecture views, Technology Architecture blueprint and design specification Experienced in using tools like Rational suite, Enterprise Architect, Eclipse, and Source code versioning systems like Git Experience with different development methodologies (RUP | Scrum | Skills : None range and compensation package : None Opportunity Statement : Include a statement on commitment to diversity and inclusivity. (ref:hirist.tech) Show more Show less

Job Description We are looking for an experienced Data Scientist / AI Developer with a strong foundation in classical machine learning, deep learning, natural language processing (NLP), and generative AI. You will be responsible for designing and implementing AI models, including fine-tuning large language models (LLMs), and developing innovative solutions to solve complex problems in a variety of domains. Key Responsibilities : . Develop and implement machine learning models and deep learning algorithms for various use cases. Work on NLP projects involving text classification, language modelling, entity recognition, and sentiment analysis. Leverage generative AI techniques to create innovative solutions and models for content generation, summarization, and translation tasks. Fine-tune large language models (LLMs) to optimize performance for specific tasks or applications. Collaborate with cross-functional teams to design AI-driven solutions that address business problems. Analyse large-scale datasets, perform data pre-processing, feature engineering, and model evaluation. Stay updated with the latest advancements in AI, ML, NLP, and LLMs to continuously improve models and methodologies. Present findings and insights to stakeholders in a clear and actionable manner. Build and maintain end-to-end machine learning pipelines for scalable deployment. Required Skills Strong expertise in supervised and unsupervised machine learning techniques. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Solid experience in Natural Language Processing (NLP), including tokenization, embeddings, and sequence modelling. Hands-on experience with generative AI models and their practical applications. Proven ability to fine-tune large language models (LLMs) for specific tasks. Strong programming skills in Python and familiarity with libraries like Scikit-learn, NumPy, and pandas. Experience in handling large datasets and working with databases (SQL, NoSQL). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes). Deep expertise in computer vision, including techniques for object detection, image segmentation, image classification, and feature extraction. Strong problem-solving skills, analytical thinking, and attention to detail. Preferred Skills Proven experience in fine-tuning LLMs (like llama series, mistral) for specific tasks and optimizing their performance. Expertise in computer vision techniques, including object detection, image segmentation, and classification. Proficiency with YOLO algorithms and other state-of-the-art computer vision models. Hands-on experience in building and deploying models in real-time applications or production environments. Qualifications 3+ years of relevant experience in AI, ML, NLP, or related fields. Bachelors or Masters degree in Computer Science, Statistics, or a related discipline. (ref:hirist.tech) Show more Show less

We are seeking a highly skilled Cyber Security Consultant with deep expertise in Identity and Access Management (IAM), especially with IBM Verify Access (ISAM) and IBM Verify Governance (ISIM). The ideal candidate will have hands-on experience designing, implementing, and maintaining IAM solutions across enterprise environments, with a strong focus on access governance, system integrations, workflow development, and security best practices. Key Responsibilities Design, implement, and support enterprise-wide IAM solutions using IBM ISAM and ISIM. Conduct current state assessments and develop IAM roadmaps and architecture strategies. Integrate IAM solutions with enterprise applications, directories, and cloud environments. Define and manage user access policies, entitlements, roles, and segregation of duties (SoD) frameworks. Implement and manage identity lifecycle workflows provisioning, de-provisioning, approvals, notifications, and certifications. Ensure compliance with internal policies and external regulatory standards (e.g., GDPR, SOX). Customize connectors, workflows, rules, and policies based on organizational requirements. Design and develop role-based access control (RBAC) and attribute-based access control (ABAC) models. Develop scripts and utilities to support automation and customization using Java, JavaScript, Shell, or other scripting languages. Integrate IAM solutions with web services, APIs, and SOA-based enterprise systems. Troubleshoot issues and optimize performance of IAM components. Provide security consulting to business and IT stakeholders for identity security-related initiatives. Assist in the development and enforcement of IAM governance and operational models. Stay current with emerging IAM trends, threats, and technologies. Required Skills & Qualifications Bachelor's degree in Computer Science, Information Security, or a related technical field. 6- 8 years of relevant experience in Cybersecurity with a focus on IAM. Hands-on experience with IBM Verify Access (ISAM) and IBM Verify Governance (ISIM). Solid understanding of identity lifecycle management, access governance, SSO, MFA, and RBAC/ABAC models. Proficiency in Java and scripting languages (Shell, Python, JavaScript). Experience working with REST/SOAP APIs, web services, and SOA workflows. Strong analytical, troubleshooting, and documentation skills. Excellent verbal and written communication, client-facing, and stakeholder management abilities. Exposure to Cloud IAM solutions (e.g., Azure AD, Okta, Ping Identity, AWS IAM). IBM Security certifications or equivalent IAM certifications. Experience with containerized deployments (Docker/Kubernetes) and DevSecOps practices. Understanding of Zero Trust Security and modern authentication protocols (OAuth2, SAML, OIDC). Technical Requirements Strong domain expertise in Identity and Access Governance. In-depth, hands-on experience with IBM Verify Access (ISAM) and IBM Verify Governance (ISIM). Proven background in IAM consulting and solution architecture. Experience in implementing, supporting, and maintaining IAM solutions. Proficiency in workflow design, rules, role definitions, notifications, certifications, connectors, policies, and entitlements. Good working knowledge of Java, scripting languages, web services, and SOA workflows. Experience with Cloud IAM solutions is a strong plus. (ref:hirist.tech) Show more Show less

About AtkinsRealis Careers 2025 We are a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world’s infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. Candidates Also Search: Graduate Engineer Trainee Jobs AtkinsRealis Careers 2025 Details Company Name AtkinsRealis Job Role Graduate Engineer Job Type Full Time Job Location Bengaluru/ Mumbai/ Pune/ Noida Education BE/ B.Tech/ ME/ M.Tech/ Ph.D Career Level 0 – 1 Years Salary Not Mentioned Company Website www.atkinsrealis.com Job Description For AtkinsRealis Careers 2025 Candidates Also Search: Fresher Jobs Conduct comprehensive analyses of water quality parameters utilizing various modelling and analysis platforms. Experience in hydraulic modelling – including any of the following environments in 1D, 2D, 3D: rivers, canals, sewers, dams, coasts, and water. Applicants must be numerate, literate and familiar with IT and software appropriate to the tasks to be undertaken including; InfoWorks ICM (1D/2D), Flood Modeller, TUFLOW, HEC-RAS and preferably Wallingford Procedure, ReFH, FEH, FSR & Micro FSR. Collaborate with cross-functional teams to collect, interpret, and assess data related to water quality, utilizing statistical methods and software tools and other relevant programs, to derive meaningful insights. Perform analysis of water sources, identifying potential issues, and recommending appropriate corrective measures. Utilize a strong understanding of hydraulics to assess water flow, distribution, and treatment processes, contributing to the optimization of systems and processes. Generate detailed reports and presentations summarizing findings, trends, and recommendations to stakeholders and regulatory bodies. Employ automation to improve data analysis efficiency and create custom tools for water quality assessment and reporting. Proactively identify areas for improvement in water quality management systems, proposing innovative solutions and strategies. Stay updated with industry advancements, emerging technologies, and regulatory changes to ensure compliance and continuous improvement in water quality standards. Candidates Also Search: BE/ B.Tech Jobs Requirements Ph.D/Master’s degree in Water Resources or Environmental Science, with Bachelors in Civil/Environmental Engineering, or related field. Proven experience in water quality analysis, statistical analysis, and data interpretation. Strong understanding of hydraulics, water quality parameters and treatment processes. Excellent communication skills with the ability to convey complex technical information to diverse audiences. Critical thinking abilities and a proactive problem-solving attitude. Detail-oriented with a strong commitment to accuracy and quality in work. Ability to work both independently and collaboratively within a team environment. Proficiency in Microsoft Office Suite applications (Word, Excel, PowerPoint, Outlook). Programming skills in VBA and Python for data analysis, automation, and tool development is advantageous. Statistical analysis tools/software (e.g., R, SPSS, SAS) and data visualization techniques is advantageous. Familiarity with regulatory standards and guidelines related to water quality management is advantageous. Candidates Also Search: Mechanical Engineer Jobs AtkinsRealis Careers 2025 Application Process DOUBLE CLICK TO APPLY ONLINE ! We wish you the best of luck in your AtkinsRealis Careers 2025 . May your talents shine, and may you find the perfect opportunity that not only meets your professional goals but also brings joy to your everyday work. Show more Show less

Company Description At Blend, we are award-winning experts who transform businesses by delivering valuable insights that make a difference. From crafting a data strategy that focuses resources on what will make the biggest difference to your company, to standing up infrastructure, and turning raw data into value through data science and visualization: we do it all. We believe that data that doesn't drive value is lost opportunity, and we are passionate about helping our clients drive better outcome through applied analytics. We are obsessed with delivering world class solutions to our customers through our network of industry leading partners. If this sounds like your kind of challenge, we would love to hear from you. For more information, visit www.blend360.com Job Description We are looking for someone who is ready for the next step in their career and is excited by the idea of solving problems and designing best in class. However, they also need to be aware of the practicalities of making a difference in the real world – whilst we love innovative advanced solutions, we also believe that sometimes a simple solution can have the most impact. Our AI Engineer is someone who feels the most comfortable around solving problems, answering questions and proposing solutions. We place a high value on the ability to communicate and translate complex analytical thinking into non-technical and commercially oriented concepts, and experience working on difficult projects and/or with demanding stakeholders is always appreciated. What can you expect from the role? Contribute to design, develop, deploy and maintain AI solutions Use a variety of AI Engineering tools and methods to deliver Own parts of projects end-to-end Contributing to solutions design and proposal submissions Supporting the development of the AI engineering team within Blend Maintain in-depth knowledge of the AI ecosystems and trends Mentor junior colleagues Qualifications Contribute to the design, development, testing, deployment, maintenance, and improvement of robust, scalable, and reliable software systems, adhering to best practices. Apply Python programming skills for both software development and AI/ML tasks. Utilize analytical and problem-solving skills to debug complex software, infrastructure, and AI integration issues. Proficiently use version control systems, especially Git and ML/LLMOps model versioning protocols. Assist in analysing complex or ambiguous AI problems, breaking them down into manageable tasks, and contributing to conceptual solution design within the rapidly evolving field of generative AI. Work effectively within a standard software development lifecycle (e.g., Agile, Scrum). Contribute to the design and utilization of scalable systems using cloud services (AWS, Azure, GCP), including compute, storage, and ML/AI services. (Preferred: Azure) Participate in designing and building scalable and reliable infrastructure to support AI inference workloads, including implementing APIs, microservices, and orchestration layers. Contribute to the design, building, or working with event-driven architectures and relevant technologies (e.g., Kafka, RabbitMQ, cloud event services) for asynchronous processing and system integration. Experience with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes, Airflow, Kubeflow, Databricks Jobs, etc). Assist in implementing CI/CD pipelines and optionally using IaC principles/tools for deploying and managing infrastructure and ML/LLM models. Contribute to developing and deploying LLM-powered features into production systems, translating experimental outputs into robust services with clear APIs. Demonstrate familiarity with transformer model architectures and a practical understanding of LLM specifics like context handling. Assist in designing, implementing, and optimising prompt strategies (e.g., chaining, templates, dynamic inputs); practical understanding of output post-processing. Experience integrating with third-party LLM providers, managing API usage, rate limits, token efficiency, and applying best practices for versioning, retries, and failover. Contribute to coordinating multi-step AI workflows, potentially involving multiple models or services, and optimising for latency and cost (sequential vs. parallel execution). Assist in monitoring, evaluating, and optimising AI/LLM solutions for performance (latency, throughput, reliability), accuracy, and cost in production environments. Additional Information Experience specifically with the Databricks MLOps platform. Familiarity with fine-tuning classical LLM models. Experience ensuring security and observability for AI services. Contribution to relevant open-source projects. Familiarity with building agentic GenAI modules or systems. Have hands-on experience implementing and automating MLOps/LLMOps practices, including model tracking, versioning, deployment, monitoring (latency, cost, throughput, reliability), logging, and retraining workflows. Experience working with MLOps/experiment tracking and operational tools (e.g., MLflow, Weights & Biases). Show more Show less

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us . Key Responsibilities Accountable for the development and support high-quality software products used by Pharmaceutical Development and Global supplies within GPS. Collaborate with Business and IT Plan functions to develop solutions for business problems including defining business requirements, provide project timelines and budget, develop acceptance criteria, testing, training, and change management plans. Contributes heavily towards developing a plan for development activities and translates those into actionable projects. These include releases, required modifications and discretionary enhancements to support the application life cycle. Collaborate directly with the business clients, IT Business Partners, and other IT functions on delivery of digital capabilities. Take complete ownership of releases from design till deployment and successful production run. This includes coordination with Ops team to deploy applications to various environments. Qualifications & Experience Have a strong commitment to a career in technology with a passion for healthcare. Strong communication still, ability to understand the needs of the business and commitment to deliver the best user experience and adoption. 3+ years of software development experience in full SDLC process, involving Analysis, Design, Development, Testing, and production. Proven experience as a full stack developer or similar role Learn, design, and implement new technologies. Have experience leading and mentoring small teams of highly skilled technical developers. Experience in designing and implementation of business-critical applications within AWS ecosystem. Experience in Cloud platforms such as AWS, Azure, GCP. Experience as a Python/node.js developer Strong knowledge of front-end technologies such as HTML, CSS, JavaScript, and React.js Strong knowledge of relational database technologies such as MySQL, SQL Server, Oracle, and PostgreSQL Strong knowledge of NoSQL databases, such as MongoDB, Amazon DynamoDB, and Cassandra Knowledge of source code repositories like SVN, GitHub, Bitbucket. Knowledge of design and implementation of N- Tier application in both cloud and on-prem environments. Ideal candidates would also have Have a strong commitment to a career in technology with a passion for healthcare. May lead initiatives related to continuous improvement or implementation of new technologies. Works independently on most deliverables. Participates in decision making and brings a variety of strong views and perspective to achieve team objectives. Knowledge of Software Development Lifecycle (SDLC) and computer systems validation (CSV) Ability to quickly learn new technologies and incorporate them into a solution. Knowledge of Project Management skills, and experience with agile and scrum methodologies. Able to collaborate across multiple functional teams. #HYDIT If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information https //careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. Show more Show less

About the company: Avenue Code is the leading software consultancy focused on delivering end-to-end development solutions for digital transformation across every vertical. We’re privately held, profitable, and have been on a solid growth trajectory since day one. We care deeply about our clients, our partners, and our people. We prefer the word ‘partner’ over ‘vendor’, and our investment in professional relationships is a reflection of that philosophy. We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams. Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture. About the opportunity: Onsite Position at HDC – India Hyderabad, Telangana This is not a hybrid role – candidates are expected to work from the office 4 days a week. Responsibilities: 8+ years software development experience with high volume e-commerce or online retail services, 5 years of which are specific to front-end and integration technologies Demonstrable proficiency and experience in NodeJS-based technologies and/or Java, microservices and integration technologies like Kafka Exposure to API management (via Apigee or Mulesoft), Identity and Access Management technologies (like Ping Federate, OAuth and OpenID Connect) Experience with running workloads on Public Clouds such as AWS, Azure or GCP, and experience with container-based technologies like Docker and Cloud Foundry Prior experience working with Continuous Integration and Deployment in a DevOps oriented product development environment and familiarity with modern MML technologies like Splunk, New Relic and Pager Duty Well versed with system and technical design principles, performant coding practices ensuring security requirements are not compromised for functionality and/or performance. Experience with laying out a go-live plan at the conceptual stage, analyzing the pros and cons between multiple options. Experience with Content Management Systems and/or Personalization Systems is a major plus. Experience with Digital asset Management systems and personalization Systems is a major plus. SKILLS: – Knowledge of Oracle/ Microsoft Dynamics – Programming skills (e.g., Java, C#, Python) – Experience with enterprise application integration (EAI) – Knowledge of business processes and workflows – Effective communication and teamwork skills Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code’s consultants are allocated to perform its services. Show more Show less

Skills: AWS, Docker, Jenkins, Python, REST APIs, NoSQL, Elasticsearch, Object-Oriented Programming, Job Overview We are seeking a Senior Python Developer to join our team on a full-time, hybrid basis. This role requires a minimum of 6 years of work experience in Python development. The successful candidate will play a crucial role in advancing our software solutions and consulting services, contributing to the growth and success of Chiselon Technologies. Qualifications And Skills Proficient in Python development with at least 6 years of hands-on experience in software programming and solutions development. Must possess expertise in Docker, Jenkins, and Python (Mandatory skill) for continuous integration and microservices deployment. Comprehensive understanding of AWS cloud services and their applications in software development and deployment. Excellent skills in creating and consuming RESTful APIs to ensure seamless integration and communication between services. Strong knowledge of NoSQL databases for handling large datasets and providing quick access to the stored data. Experience with Elasticsearch for implementing powerful search and analytical features in applications. Solid command of Object-Oriented Programming principles to develop scalable and optimized software solutions. Effective problem-solving skills with the ability to analyze complex data and provide innovative solutions. Roles And Responsibilities Develop and maintain high-quality Python applications that align with business goals and technical requirements. Collaborate with cross-functional teams to define, design, and ship new features and improvements. Ensure the performance, quality, and responsiveness of applications through regular testing and code reviews. Manage and oversee the complete software development lifecycle, from requirements gathering to deployment and maintenance. Utilize Docker, Jenkins, and other continuous integration tools to streamline development processes and optimize performance. Implement AWS solutions for hosting and scaling applications effectively and cost-efficiently. Build and enhance RESTful APIs to facilitate seamless interaction between internal and external systems. Troubleshoot complex issues related to software functionality, performance, and reliability, ensuring timely resolutions. Show more Show less

Key Accountabilities Using Microsoft Azure data PaaS services, design, build, modify, and support data pipelines leveraging DataBricks and PowerBI in a medallion architecture setting. If necessary, create prototypes to validate proposed ideas and solicit input from stakeholders. Excellent grasp of and expertise with test-driven development and continuous integration processes. Analysis and Design – Converts high-level design to low-level design and implements it. Collaborate with Team Leads to define/clarify business requirements, estimate development costs, and finalize work plans. Run unit and integration tests on all created code – Create and run unit and integration tests throughout the development lifecycle Benchmark application code proactively to prevent performance and scalability concerns. Collaborate with the Quality Assurance Team on issue reporting, resolution, and change management. Support and Troubleshooting – Assist the Operations Team with any environmental issues that arise during application deployment in the Development, QA, Staging, and Production environments. Assist other teams in resolving issues that may develop as a result of applications or the integration of multiple component. Knowledge And Experience Understanding of design concepts and architectural basics. Knowledge of performance engineering. Understanding of quality processes and estimate methods. Fundamental grasp of the project domain. The ability to transform functional and nonfunctional needs into system requirements. The ability to develop and code complicated applications is required. The ability to create test cases and scenarios based on specifications. Solid knowledge of SDLC and agile techniques. Knowledge of current technology and trends. Logical thinking and problem-solving abilities, as well as the capacity to collaborate. Primary skills: Cloud Platform, Azure, Databricks, ADF, ADO. Sought: SQL, Python, PowerBI. General Knowledge: PowerApps, Java. 3-5 years of experience in software development with minimum 2 years of cloud computing. Education Bachelor of Science in Computer Science, Engineering, or related technical field. Show more Show less

About ISOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether you’re a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description iSOCRATES is seeking a highly skilled and experienced Lead Data Scientist to spearhead our growing Data Science team. The Lead Data Scientist will be responsible for leading the team that defines, designs, reports on, and analyzes audience, campaign, and programmatic media trading data. This includes working with selected partner-focused Managed Services and Outsourced Services on behalf of our supply-side and demand-side partners. The role will involve collaboration with cross-functional teams and working across a variety of media channels, including digital and offline channels such as display, mobile, video, social, native, and advanced TV/Audio ad products. Key Responsibilities Team Leadership & Management: Lead and mentor a team of data scientists to drive the design, development, and implementation of data-driven solutions for media and marketing campaigns. Advanced Analytics & Data Science Expertise: Provide hands-on leadership in applying rigorous statistical, econometric, and Big Data methods to define requirements, design analytics solutions, analyze results, and optimize economic outcomes. Expertise in modeling techniques including propensity modeling, Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), Recency, Frequency, Monetary (RFM) analysis, Bayesian statistics, and non-parametric methods. Generative AI & NLP: Lead the implementation and development of Generative AI, Large Language Models, and Natural Language Processing (NLP) techniques to enhance data modeling, prediction, and analysis processes. Data Architecture & Management: Architect and manage dynamic data systems from diverse sources, ensuring effective integration and optimization of audience, pricing, and contextual data for programmatic and digital advertising campaigns. Oversee the management of DSPs, SSPs, DMPs, and other data systems integral to the ad-tech ecosystem. Cross-Functional Collaboration: Work closely with Product, System Development, Yield, Operations, Finance, Sales, Business Development, and other teams to ensure seamless data quality, completeness, and predictive outcomes across campaigns. Design and deliver actionable insights, creating innovative, data-driven solutions and reporting tools for use by both iSOCRATES teams and business partners. Predictive Modeling & Optimization: Lead the development of predictive models and analyses to drive programmatic optimization, focusing on revenue, audience behavior, bid actions, and ad inventory optimization (eCPM, fill rate, etc.). Monitor and analyze campaign performance, making data-driven recommendations for optimizations across various media channels including websites, mobile apps, and social media platforms. Data Collection & Quality Assurance: Oversee the design, collection, and management of data, ensuring high-quality standards, efficient storage systems, and optimizations for in-depth analysis and visualization. Guide the implementation of tools for complex data analysis, model development, reporting, and visualization, ensuring alignment with business objectives. Qualifications Master’s or Ph.D. in Statistics, Engineering, Science, or Business with a strong foundation in mathematics and statistics. Looking for an experience of 8 to 10 years with at least 5 years of hands-on experience in data science, predictive analytics, media research, and digital analytics, with a focus on modeling, analysis, and optimization within the media, advertising, or tech industry. At least 3 years of hands-on experience with Generative AI, Large Language Models, and Natural Language Processing techniques. Minimum 3 years of experience in Publisher and Advertiser Audience Data Analytics and Modeling. Proficient in data collection, business intelligence, machine learning, and deep learning techniques using tools such as Python, R, scikit-learn, Hadoop, Spark, MySQL, and AWS S3. Expertise in logistic regression, customer segmentation, persona building, and predictive analytics. Strong analytical and data modeling skills with a deep understanding of audience behavior, pricing strategies, and programmatic media optimization. Experience working with DSPs, SSPs, DMPs, and programmatic systems. Excellent communication and presentation skills, with the ability to communicate complex technical concepts to non-technical stakeholders. Ability to manage multiple tasks and projects effectively, both independently and in collaboration with remote teams. Strong problem-solving skills with the ability to adapt to evolving business needs and deliver solutions proactively. Experience in developing analytics dashboards, visualization tools, and reporting systems. Background in digital media optimization, audience segmentation, and performance analytics. This is an exciting opportunity to take on a leadership role at the forefront of data science in the digital media and advertising space. If you have a passion for innovation, a strong technical background, and the ability to lead a team toward impactful, data-driven solutions, we encourage you to apply. An interest and ability to work in a fast-paced operation on the analytics and revenue side of our business Willing to relocate to Mysuru/ Bengaluru Show more Show less

Job Description: Data Scientist Role Overview The Data Scientist will lead the development of claims segmentation and forecasting models to support optimal adjuster planning. The role requires strong statistical and machine learning expertise, with a focus on applying data-driven insights to improve operational efficiency in claims management. Key Responsibilities Collaborate with business stakeholders to define claim complexity criteria. Develop and validate segmentation models to categorize claims into low, medium, and high-touch segments. Build forecasting models to predict claim volumes across complexity levels using historical claims data. Conduct feature engineering, model testing, and performance tuning. Translate model outputs into actionable business insights and support integration with capacity planning workflows. Document model methodology, assumptions, and deliverables. Work closely with the Data Engineer to ensure data readiness and pipeline efficiency. Skills & Experience 5+ years of experience in data science or analytics roles. Proficiency in Python (Pandas, Scikit-learn, XGBoost, etc.), SQL, and data visualization tools. Strong understanding of supervised learning, time-series forecasting, and model evaluation techniques. Experience working with operational or insurance claims data is preferred. Effective communication and stakeholder engagement skills. Show more Show less

Job Description Senior Specialist - Data Science At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. 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. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Senior Specialist - Data Science. This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Pharma & Rare Disease, etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models. You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics – Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions. We are seeking candidates with prior expertise in the healthcare analytics or consulting sectors, prior experience in leading Data Science teams and delivering end-to-end data science projects against business priorities. Thorough understanding of different Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum is expected. Extensive experience on commercial pharma analytics (HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc., or Segmentation & Targeting). You will collaborate with Market leaders to answer critical business questions using data science solutions. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders. Who You Are You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation You are self-motivated, and have demonstrated abilities to think independently as a data scientist You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key Responsibilities Lead a moderate sized team of Data Scientist to solve complex business problems. Collaborate with business leaders to define and prioritize the business problems, work with the team to conceptualize the data science solution to address the problem Lead the end to end Program Management to ensure that team is working as per aligned business priorities Standardize and scale data science solutions to increase the delivery efficiency on prioritized work Collaborate with cross-functional teams to design and implement solutions that meet business requirements Define business & technical requirements (datasets, business rules, technical architecture), provide technical direction to the team and manage end-to-end projects Present the findings to senior business stakeholders in a clear and concise manner Ensure the technical and professional development of junior team members by required mentorship and defining the career progression pathway Develop deep expertise in the therapeutic area of interest, contribute to thought leadership in the domain through publications and conference presentations. Minimum Qualifications Bachelor’s degree with 8-10 years industry experience Extensive experience in healthcare analytics or consulting sectors Extensive experience working with real world evidence (RWE) and patient level data (PLD) from leading vendors such as IQVIA, Komodo, Optum etc. Extensive experience in HCP Analytics, Segmentation and Targeting and Patient Level Data analytics (e.g., creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.) Experience in project management, senior level stakeholder management Experience in leading small sized teams Strong Python/R, SQL, Excel skills Strong foundation of statistics and machine learning Preferred Qualifications Advanced degree in STEM (MS, MBA, PhD) Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics Experience of supporting End to End Program Management Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. 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 Not Applicable Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/15/2025 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 R337095 Show more Show less

Job Description Senior Specialist - Data Science At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. 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. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Analyst - Data Science. This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Pharma & Rare Disease, etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models. You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics – Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions. We are seeking candidates with prior expertise in the healthcare analytics or consulting sectors, prior experience in leading Data Science teams and delivering end-to-end data science projects against business priorities. Thorough understanding of different Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum is expected. Extensive experience on commercial pharma analytics (HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc., or Segmentation & Targeting). You will collaborate with Market leaders to answer critical business questions using data science solutions. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders. Who You Are You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation You are self-motivated, and have demonstrated abilities to think independently as a data scientist You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key Responsibilities Lead a moderate sized team of Data Scientist to solve complex business problems. Collaborate with business leaders to define and prioritize the business problems, work with the team to conceptualize the data science solution to address the problem Lead the end to end Program Management to ensure that team is working as per aligned business priorities Standardize and scale data science solutions to increase the delivery efficiency on prioritized work Collaborate with cross-functional teams to design and implement solutions that meet business requirements Define business & technical requirements (datasets, business rules, technical architecture), provide technical direction to the team and manage end-to-end projects Present the findings to senior business stakeholders in a clear and concise manner Ensure the technical and professional development of junior team members by required mentorship and defining the career progression pathway Develop deep expertise in the therapeutic area of interest, contribute to thought leadership in the domain through publications and conference presentations. Minimum Qualifications Bachelor’s degree with 8-10 years industry experience Extensive experience in healthcare analytics or consulting sectors Extensive experience working with real world evidence (RWE) and patient level data (PLD) from leading vendors such as IQVIA, Komodo, Optum etc. Extensive experience in HCP Analytics, Segmentation and Targeting and Patient Level Data analytics (e.g., creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.) Experience in project management, senior level stakeholder management Experience in leading small sized teams Strong Python/R, SQL, Excel skills Strong foundation of statistics and machine learning Preferred Qualifications Advanced degree in STEM (MS, MBA, PhD) Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics Experience of supporting End to End Program Management Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. 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 Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/15/2025 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 R335740 Show more Show less

Job Description Intern, Global Commercial Pharma Pipeline Analytics Our Human Health Digital Data and Analytics team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of engaging, interacting with our customers and patients leveraging digital, data and analytics and measuring the impact. The Internship Program at our company features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Human Health division can provide you with great development and a chance to see if we are the right company for your long-term goals. The program allows students to work on one or more data science projects within our Company's Human Health Commercial division. These opportunities are designed to facilitate the transition from academia to industry for soon-to-be graduates and will involve participation and contribution in real projects being carried out by our company’s data science team. This is also a way for you to identify if our company may be the right company for your long-term career goals. These positions are typically 3-6 months long and have various start dates throughout the year. Most of the projects will involve analyses in support of our company's commercial objectives. Candidates will be responsible for providing analytical and technical support, which includes the collection and analysis of internal and external pharmaceutical data to assist in making meaningful business decisions. Candidates will help to solve novel commercial analytic questions through use of Advanced Analytics (AI/ML). Required Education And Skills Candidates must be currently enrolled in bachelor’s / master’s / PhD degree program in a Quantitative discipline such as Data Science, Statistics, Mathematics, Physics, Economics, Computational Biology, Engineering, Management or other relevant discipline. Candidates must be expected to graduate in the next 1-2 years. Candidates must have fluency in at least one programming environments such as SQL/Python and sound understanding of OOPs Candidates must have familiarity with the basics of data science and advanced statistical methods (clustering, regression, classification, etc.) and ability to determine the correct method for the task or have the willingness to learn the same Candidates must have demonstrated ability to problem solve independently on complex analytical projects Candidates must have an interest in supporting pharmaceutical data and analytics initiatives like segmentation & targeting, digital analytics, big data analytics, patient claims analytics Candidates will be required to serve as a quantitative methodology professional by developing creative analytical solutions and applying appropriate statistical and/or machine learning methodologies to answer novel commercial analytic questions Candidates should be effective oral and written communicators Candidates must be able to strike a balance between methodological rigor and project timelines/deliverables Preferred Experience And Skills Knowledge on MS Office Package - Excel and PPT is must Candidates having experience with one or more of the standard machine learning and data manipulation packages such as scikit-learn/NumPy/Pandas Candidates having familiarity with SQL & databases Redshift/Athena Candidates having familiarity with Natural Language Processing & Large Language Models Planned Learning Experience And Skills To gain experience in healthcare data, insights, and analytics Therapeutic area experience in infectious diseases/HIV, immunology, cardio-metabolic and/or ophthalmology diseases Global market exposure Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics, and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. 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 Intern/Co-op (Fixed Term) Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/18/2025 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 R345715 Show more Show less

Description Who You Are You are a sharp, experienced software engineer with strong problem-solving skills, a solid software testing foundation. You are a talented, detail, oriented and enthusiastic tester who is passionate about quality and is enthusiastic about the new technology offered to consumers. You will design, plan, execute and automate tests for software across a variety of n-tier architectures and technologies. Who We Are The International Retail organization is building a team to help expand Amazon's footprint in India. Our QA/SDET team will play a pivotal role in this program, with the mission to build and execute a streamlined QA process for the new business initiative. This is a rare opportunity to be part of a team that will be responsible for building a successful, sustainable and strategic business for Amazon, from the ground up. Responsibilities At a strategic level, our QA team will help drive the software development process towards quality-centric methodologies. The QA team will also drive efficiencies in the QA process and invest appropriately in process changes, automation, tools etc to reduce the overall QA effort for the product. The goal of our QA team is to build a comprehensive test suite that will be utilized to validate the solution in a scalable and repeatable manner. The QA team identifies use cases and creates test plans, defines test strategies and creates test cases to validate software design via manual and automated tests. The QAE is responsible for conducting functional regression testing, integration testing and automation, and identify scaling and security issues for distributed, service oriented software systems using Java/ C++/C#, SQL, Perl, Python, JavaScript, as well as user-level automation using tools such as Selenium. Find opportunities for improvements in systems, tools and processes, as well as drive these improvements across the development groups. Work closely with the development groups that enhance and maintain the applications that make up the product and the underlying services that drive them. Write automated tests with Scripting tools and/or user-level automated tools. Responsible for understanding the domain and the product in detail and coming up with the test strategy/planning, developing test cases, driving the test case sign-off processes with the stakeholders, and test execution and reporting. Internal Job Description N/A Basic Qualifications Basic Qualifications Bachelor's in CS or related field 2+ quality assurance engineering experience Knowledge of scripting languages such as SQL, Perl, Python, XML or Ruby Ability to write code in C, C++ or Java Familiarity with automation testing tools such as Selenium, QTP, Load Runner or Win Runner Excellent QA aptitude and ability to drive process improvements Strong knowledge of QA methodology and tools Ability to write test plans and test strategy documents Ability to understand functional/technical specifications and analyze data Strong organizational and problem solving skills with great attention to detail, including the ability to track multiple test executions simultaneously and synthesize the results Preferred Qualifications Experience in testing systems built on three tier architecture and web technologies Experience in using APIs and Web Services for testing service oriented architecture Basic Qualifications 4+ years of quality assurance engineering experience Bachelor's degree Experience in manual testing Experience in automation testing Experience as QA lead on medium to large sized projects Preferred Qualifications Experience with at least one automated test framework like Selenium or Appium Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3009649 Show more Show less

Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 10034 Key job responsibilities As an experienced technology professional, you will be responsible for: Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs Providing technical guidance and troubleshooting support throughout project delivery Collaborating with stakeholders to gather requirements and propose effective migration strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About The Team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications 3+ years of experience in cloud architecture and implementation Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience Experience in large scale application/server migration from on-premise to cloud. Good knowledge on Compute, Storage, Security and Networking technologies Good understanding and experience on dealing with firewalls, VPCs, network routing, Identity and Access Management and security implementation Preferred Qualifications AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred Experience with automation and scripting (e.g., Terraform, Python) Knowledge of security and compliance standards (e.g., HIPAA, GDPR) Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Experience in assessment of source architecture and map it to relevant target architecture in the cloud environment with knowledge on capacity and performance management Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - AWS Proserve IN – Haryana Job ID: A2943431 Show more Show less

Job Description: Data Engineer Role Overview The Data Engineer will be responsible for ensuring the availability, quality, and transformation of claims and operational data required for model development and integration. The role demands strong data pipeline design and engineering capabilities to support a scalable forecasting and capacity planning framework. Key Responsibilities Gather and process data from multiple sources including claims systems and operational databases. Build and maintain data pipelines to support segmentation and forecasting models. Ensure data integrity, transformation, and enrichment to align with modeling requirements. Collaborate with the Data Scientist to provide model-ready datasets. Support data versioning, storage, and automation for periodic refreshes. Assist in deployment/integration of data flows into operational dashboards or planning tools. Skills & Experience 5+ years of experience in data engineering or ETL development. Proficiency in SQL, Python, and data pipeline tools (e.g., Airflow, dbt, Spark, etc.). Experience with cloud-based data platforms (e.g., Azure, AWS, GCP). Understanding of data architecture and governance best practices. Prior experience working with insurance or operations-related data is a plus. Show more Show less

Tech Operations analyst's role is to drive major TRR exercise and manage overall resiliency test across all 3 geographies of AFI - US, India and EMEA. We need a person who can provide technical oversight in the review of TRR plans and identify opportunities for resiliency, recovery, and automation. Drive automation for simulation of failure scenarios to be leveraged during exercises. Head BCM product features development within the team in a federated model. Lead TRR program maturity toward zero downtime goal for critical applications recovery. Facilitate application failover as a recovery mechanism during major incidents. Drive DR Operations deliverables for successful completion aligned to prioritized product roadmap. Responsible for developing and reporting on KPI for the DR Program. Create and execute recovery events during exercises as required by the DR program. Participate in the ORR process to ensure smooth transition of applications in production. Key Responsibilities To drive major TRR exercise and manage overall resiliency test across all 3 geographies of AFI - US, India and EMEA. To provide technical oversight in the review of TRR plans and identify opportunities for resiliency, recovery, and automation. Proficiency in scripting languages, like Python or Shell/powershell Drive automation for simulation of failure scenarios to be leveraged during exercises. Head BCM product features development within the team in a federated model. Lead TRR program maturity toward zero downtime goal for critical applications recovery. Facilitate application failover as a recovery mechanism during major incidents. Drive DR Operations deliverables for successful completion aligned to prioritized product roadmap. Responsible for developing and reporting on KPI for the DR Program. Create and execute recovery events during exercises as required by the DR program. Participate in the ORR process to ensure smooth transition of applications in production. Required Qualifications Bachelors/master's degree in computer science/information systems or equivalent. Person should have above qualifications and 2-4 years of experience in relevant disciplines including: At least 2-4 years of strong experience in managing overall resiliency test. At least 2-4 years in scripting languages, like Python or Shell/powershell Hands on experience in automated failover/failback of recovery activities and automation Hands-on experience to drive automation for simulation of failure scenarios to be leveraged during exercises Working knowledge on zero downtime goal for mission critical applications recovery Knowledge of ITIL practices Hands-on experience on creating, executing recovery events during exercises as required by the DR program. Participate in the ORR process to ensure smooth transition of applications in production. Preferred Qualifications Candidates who have used following tools (or have familiarity with below) will have added advantage: Service Now BCM Automation tools or scripting knowledge experience Sound knowledge about Cloud Technology and exposure to AWS etc Familiarity with monitoring tools About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Timings (2:00p-10:30p) India Business Unit AWMPO AWMP&S President's Office Job Family Group Technology Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting-Performance Testing Senior The opportunity As a Performance Test Engineer, you will be accountable & responsible to work as individual contributor as well as manage and mentor performance test team and contribute for team development, practice level development not limiting to project deliverables. The person should be able to handle multiple performance test projects throughout the performance test lifecycle as well work hands on in scripting, test execution and analysis. Able to develop Performance Test framework and work on creating assets and accelerators. The role demands expertise on Performance tools like Microfocus LoadRunner, Apache JMeter and/or Gatling/Neoload. Added advantage to have knowledge on vb scripting and python. Your key responsibilities: Skills And Attributes For Success Work collaboratively with Performance Architects and Engineering organizations in the development of performance testing strategy and Test plans for the projects. Understand Non-Functional Requirements (Performance & Load, response time, SLAs for Application/System Performance/Availability). Work closely with Business Analysis team for reviewing Non-Functional Requirements and provide necessary feedback Performance Framework Design and Implementation Creating, Organizing, and managing Test Performance Resources Design Load Models and Performance Test Scenarios as per the Test Strategy to test Performance Requirements. Identify Test Data needs Build Performance Test scripts & Performance Test Scenarios using Performance Testing tool, HP Load Runner, NeoLoad, Jmeter, WebLoad. SOASTA Identifying Measurement points and Monitors Ensure Performance Test readiness including Test Environment, Test Data, Performance Test & Monitoring tools Run Performance Testing, collect Test results and data (Monitoring data, Application & Server logs etc) Assist in analysis and detection of performance bottlenecks. Analyze the Test Results & data, identify Performance Issues and log them. Liaise with Solution Engineering and System (Platform/ OS & db) Admin for resolution, involve Business Analysis team if required Collaborate with Leads/PMs to define technically feasible WBS on performance activities and be liaison from performance projects. Create Performance Test Report covering current Performance levels, Bottlenecks and recommendations for Performance Optimization/ Improvements. Share with all the necessary stakeholders Perform hardware sizing to fulfil customer volume and scalability requirements would be added advantage. Might require working directly as independent contributor or as Team Player with the customer in resolution of the performance issues in their environment. Providing Performance Test Estimations Organizing, monitoring defect management process Co-coordinating Test team members and Development team in order to resolve the issues Interacting with client-side people to solve issues and update status Able to lead team across geographies Actively take part in providing Performance trainings in the company To qualify for the role, you must have BE/BTech/MCA/M.Sc 5-10 years of Performance consulting experience across multiple platforms and varied domains At least 5 years of experience in any of the Performance tools for scripting, execution and analysis is a must – Microfocus LoadRunner, Apache JMeter, Neoload, Gatling Experience in working with multiple protocols such as Web, WebServices, Truclient, Mobile App, SAP etc Must have experience in any of the APM tools but not limited to Dynatrace, AppDynamics, Azure Monitor and App Insights etc, AWZ Cloudwatch. Strong experience in C /Python/C#/Java / VB Scripting. What We Look For What working at EY offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Key Responsibilities Set up and maintain monitoring dashboards for ETL jobs using Datadog, including metrics, logs, and alerts. Monitor daily ETL workflows and proactively detect and resolve data pipeline failures or performance issues. Create Datadog Monitors for job status (success/failure), job duration, resource utilization, and error trends. Work closely with Data Engineering teams to onboard new pipelines and ensure observability best practices. Integrate Datadog with tools. Conduct root cause analysis of ETL failures and performance bottlenecks. Tune thresholds, baselines, and anomaly detection settings in Datadog to reduce false positives. Document incident handling procedures and contribute to improving overall ETL monitoring maturity. Participate in on call rotations or scheduled support windows to manage ETL health. Required Skills & Qualifications 3+ years of experience in ETL/data pipeline monitoring, preferably in a cloud or hybrid environment. Proficiency in using Datadog for metrics, logging, alerting, and dashboards. Strong understanding of ETL concepts and tools (e.g., Airflow, Informatica, Talend, AWS Glue, or dbt). Familiarity with SQL and querying large datasets. Experience working with Python, Shell scripting, or Bash for automation and log parsing. Understanding of cloud platforms (AWS/GCP/Azure) and services like S3, Redshift, BigQuery, etc. Knowledge of CI/CD and DevOps principles related to data infrastructure monitoring. Preferred Qualifications Experience with distributed tracing and APM in Datadog. Prior experience monitoring Spark, Kafka, or streaming pipelines. Familiarity with ticketing tools (e.g., Jira, ServiceNow) and incident management workflows. Show more Show less

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. Description We are looking for a talented and experienced Sr Software Engineer to join our dynamic team. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Senior Software Engineer, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. Skills We are seeking engineers with diverse specialties and skills to join our dynamic team to innovate and solve complex challenges. Our team is looking for strong talent with expertise in the following areas: Back End Engineer (API Development, Database Management, Security Practices, Message Queuing) DevOps Engineer (k8s, CI/CD Pipelines, Managed File Transfer, Containerizati on/Orchestration, Cloud Platforms) Good to have AI knowledge (Machine Learning Frameworks, Data Processing, Big Data Technologies, Generative AI) Responsibilities Software Development: Write clean, maintainable, and efficient code or various software applications and systems. Dev Ops Model: Understanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production. Design and Architecture: Participate in design reviews with peers and stakeholders Code Review: Review code developed by other developers, providing feedback adhering to industry standard best practices like coding guidelines Testing: Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Debugging and Troubleshooting: Triage defects or customer reported issues, debug and resolve in a timely and efficient manner. Service Health and Quality: Contribute to health and quality of services and incidents, promptly identifying and escalating issues. Collaborate with the team in utilizing service health indicators and telemetry for action. Assist in conducting root cause analysis and implementing measures to prevent future recurrences. Documentation: Properly document new features, enhancements or fixes to the product, and also contribute to training materials. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 3+ years of professional software development experience. Proficiency in one or more programming languages such as Java, C#, .NET, Python, JavaScript. Good understanding of cloud technologies and DevOps principles. Experience with software development practices and design patterns. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Preferred Qualifications Experience with cloud platforms like GCP, Azure, or AWS. Experience with test automation frameworks and tools. Knowledge of agile development methodologies. Commitment to continuous learning and professional development. Good communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com Show more Show less

The Sr Business Analyst (Digital Marketing Analyst) role is part of the Wealth Management Solutions business group focused on supporting the Banking & Cash Solutions department. This role supports business decision-making by providing analysis that leads to recommended solutions for business challenges. The Digital Marketing Analyst position is responsible for providing analytical support and strategic guidance to the BCS Product and Marketing teams. This position will work cross functionally with internal business partners to leverage data and insights to aid in developing strategic digital marketing campaigns to drive client acquisition and deepening. Key Responsibilities Understand the business processes and the interdependencies of various systems. Works independently with the Product and Marketing team to provide analytical support and strategic recommendations for marketing campaigns, incrementality testing, omni-channel measurement, and modelling. Analyze client behavior, and campaign performance to identify opportunities for optimization and growth. Supports analytical needs of business partners by understanding the purpose of the digital marketing efforts, defines metrics for measurement, reports results in a timely manner and provides strategic recommendations to impact future marketing initiatives. Ability to create fully automated reports or dashboards to address business needs and support ad-hoc business requests. Identifies need for automation of repeat requests and works with appropriate partners to build out the solutions, providing data-driven recommendations for growth. Required Qualifications A Bachelor’s Degree is required in related field A minimum of 4-6 years of experience in related role. Proficiency with Microsoft Office Suite; intermediate to advanced Excel and Powerpoint skills. Experience with digital analytics tools such as Adobe Analytics or Google Analytics is mandatory. SQL knowledge is mandatory. Power BI knowledge is a plus. Expertise in marketing analytics, campaign targeting, and optimization Business Experience In Banking/financial Services Setting Is Required. Detail oriented, strong organization, prioritization and time-management skills. Excels in attention to detail with high level of accuracy. Excellent verbal and written communication skills, proven analytical skills, strong problem-solving skills and highly developed interpersonal skills. Ability to respond to and deal with a range of ad hoc queries/requests. Maintains flexibility in approach and adjusts actions when appropriate. Analytical Skills: work with large datasets: facts, figures, and number crunching Attention to detail: regularly QA and cross-check your work and be vigilant in your analysis to come to accurate conclusions Ability to handle projects independently and as part of a team Ability to adapt and adjust direction to meet business objectives Preferred Qualifications Experience in Power Bi and Python or any other programming language will be plus. About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Timings (2:00p-10:30p) India Business Unit AWMPO AWMP&S President's Office Job Family Group Business Support & Operations Show more Show less

Job Description Support the day-to-day operations of these GCP-based data pipelines, ensuring data governance, reliability, and performance optimization. Hands-on experience with GCP data services such as Dataflow, BigQuery, Dataproc, Pub/Sub, and real-time streaming architectures is preferred.The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. This role requires a flexible working schedule, including potential weekend support for critical operations, while maintaining a 40-hour work week.The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. A key aspect of the MDLZ Google cloud BigQuery platform is handling the complexity of inbound data, which often does not follow a global design (e.g., variations in channel inventory, customer PoS, hierarchies, distribution, and promo plans). You will assist in ensuring the robust operation of pipelines that translate this varied inbound data into the standardized o9 global design. This also includes man '8+ years of overall industry experience and minimum of 8-10 years of experience building and deploying large scale data processing pipelines in a production environment Focus on excellence: Has practical experience of Data-Driven Approaches, Is familiar with the application of Data Security strategy, Is familiar with well know data engineering tools and platforms Technical depth and breadth : Able to build and operate Data Pipelines, Build and operate Data Storage, Has worked on big data architecture within Distributed Systems. Is familiar with Infrastructure definition and automation in this context. Is aware of adjacent technologies to the ones they have worked on. Can speak to the alternative tech choices to that made on their projects. Implementation and automation of Internal data extraction from SAP BW / HANA Implementation and automation of External data extraction from openly available internet data sources via APIs Data cleaning, curation and enrichment by using Alteryx, SQL, Python, R, PySpark, SparkR Preparing consolidated DataMart for use by Data Scientists and managing SQL Databases Exposing data via Alteryx, SQL Database for consumption in Tableau Data documentation maintenance/update Collaboration and workflow using a version control system (e.g., Git Hub) Learning ability : Is self-reflective, Has a hunger to improve, Has a keen interest to drive their own learning. Applies theoretical knowledge to practice Flexible Working Hours: This role requires the flexibility to work non-traditional hours, including providing support during off-hours or weekends for critical data pipeline job runs, deployments, or incident response, while ensuring the total work commitment remains a 40-hour week. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.Data engineering Concepts: Experience in working with data lake, data warehouse, data mart and Implemented ETL/ELT and SCD concepts. ETL or Data integration tool: Experience in Talend is highly desirable. Analytics: Fluent with SQL, PL/SQL and have used analytics tools like Big Query for data analytics Cloud experience: Experienced in GCP services like cloud function, cloud run, data flow, data proc and big query. Data sources: Experience of working with structure data sources like SAP, BW, Flat Files, RDBMS etc. and semi structured data sources like PDF, JSON, XML etc. Programming: Understanding of OOPs concepts and hands-on experience with Python/Java for programming and scripting. Data Processing: Experience in working with any of the Data Processing Platforms like Dataflow, Databricks. Orchestration: Experience in orchestrating/scheduling data pipelines using any of the tools like Airflow and Alteryx Keep our data separated and secure across national boundaries through multiple data centers and Azure regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Skills And Experience Rich experience in working with FMCG industry. Deep knowledge in manipulating, processing, and extracting value from datasets; + 5 years of experience in data engineering, business intelligence, data science, or related field; Proficiency with Programming Languages: SQL, Python, R Spark, PySpark, SparkR, SQL for data processing; Strong project management skills and ability to plan and prioritize work in a fast-paced environment; Experience with: MS Azure Data Factory, MS Azure Data Lake Store, SQL Database, SAP BW/ ECC / HANA, Alteryx, Tableau; Ability to think creatively, highly-driven and self-motivated; Knowledge of SAP BW for HANA (Extractors, Transformations, Modeling aDSOs, Queries, OpenHubs) No Relocation support available Business Unit Summary Headquartered in Singapore, Mondelēz International’s Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytics & Modelling Analytics & Data Science Show more Show less

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. Responsibilities Technical Leadership: Provide technical leadership and direction for major projects, ensuring alignment with business goals and industry best practices. Be hands-on with code, maintaining high technical standards and actively participating in design and architecture decisions, code reviews, and helping engineers optimize their code. Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications. Ensure accountability for the team’s technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, leverage CoPilot). Ensure the health and quality of services and incidents, proactively identifying and addressing issues. Utilize service health indicators and telemetry for action. Implement best practices for operational excellence. Play a pivotal role in the R.I.D.E. (Review, Inspect, Decide, Execute) framework. Understand CI/CD pipelines from build, test, to deploy phases. Team Management Lead and manage a team of software engineers, fostering a collaborative and high-performance environment. Conduct regular performance reviews, provide feedback, and support professional development. Foster a culture of service ownership and enhance team engagement. Drive succession planning and engineering efficiency, focusing on quality and developer experience through data-driven approaches. Promote a growth mindset, understanding and driving organizational change. Actively seek opportunities for team growth and cross-functional collaboration. Works and guides the team on how to operate in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production. Coaching And Development Grow and develop the team technically and with a quality mindset, providing strong and actionable feedback. Provide technical mentorship and guidance to engineers at all levels, fostering a culture of learning, collaboration, and continuous improvement, encouraging the team to experiment, learn, and iterate on processes and technologies. Stay current with emerging technologies and industry trends, advocating for their adoption where appropriate to drive innovation and productivity within the team. Execution Excellence Oversee the planning, execution, and delivery of high-impact software projects, ensuring they are completed on time and within budget. Manage team workload and capacity, setting priorities and managing risks and tradeoffs. Align team efforts with the strategic direction of the company, understanding the big picture and business needs. Demonstrate engineering excellence and service ownership, including cost and quality management of services, and effective production management. Collaborate with cross-functional teams, including product management, design, and operations, to ensure alignment and successful delivery of projects. Communicate effectively with stakeholders at all levels. Make deployment decisions with appropriate risk mitigation. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 8+ years of experience in software development, with 3+ years in a technical leadership role and 2+ years in a people management role. Proven track record of leading and delivering large-scale, complex software projects. Deep expertise in one or more programming languages such as C, C++, C#, .NET, Python, Java, or JavaScript. Extensive experience with software architecture and design patterns. Strong understanding of cloud technologies and DevOps principles. Excellent problem-solving skills and attention to detail. Excellent communication and leadership skills, with a demonstrated ability to influence and drive change. Preferred Qualifications Master’s degree or PhD in Computer Science, Engineering, or a related technical field. Experience with cloud platforms like Azure, AWS, or GCP. Familiarity with CI/CD pipelines and automation tools. Knowledge of agile development methodologies. Experience in a complex, matrixed organization. Demonstrated commitment to diversity and inclusion initiatives. Familiarity with developing accessible technologies. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com Show more Show less

Job Description Support the day-to-day operations of these GCP-based data pipelines, ensuring data governance, reliability, and performance optimization. Hands-on experience with GCP data services such as Dataflow, BigQuery, Dataproc, Pub/Sub, and real-time streaming architectures is preferred.The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.This role requires a flexible working schedule, including potential weekend support for critical operations, while maintaining a 40-hour work week. A key aspect of the MDLZ DataHub Google BigQuery platform is handling the complexity of inbound data, which often does not follow a global design (e.g., variations in channel inventory, customer PoS, hierarchies, distribution, and promo plans). You will assist in ensuring the robust operation of pipelines that translate this varied inbound data into the standardized o9 global design. This also includes managing pipelines for different data drivers (> 6 months vs. 0-6 months), ensuring consistent input to o9. '6+ years of overall industry experience and minimum of 6-8 years of experience building and deploying large scale data processing pipelines in a production environment Focus on excellence: Has practical experience of Data-Driven Approaches, Is familiar with the application of Data Security strategy, Is familiar with well know data engineering tools and platforms Technical depth and breadth : Able to build and operate Data Pipelines, Build and operate Data Storage, Has worked on big data architecture within Distributed Systems. Is familiar with Infrastructure definition and automation in this context. Is aware of adjacent technologies to the ones they have worked on. Can speak to the alternative tech choices to that made on their projects. Implementation and automation of Internal data extraction from SAP BW / HANA Implementation and automation of External data extraction from openly available internet data sources via APIs Data cleaning, curation and enrichment by using Alteryx, SQL, Python, R, PySpark, SparkR Preparing consolidated DataMart for use by Data Scientists and managing SQL Databases Exposing data via Alteryx, SQL Database for consumption in Tableau Data documentation maintenance/update Collaboration and workflow using a version control system (e.g., Git Hub) Learning ability : Is self-reflective, Has a hunger to improve, Has a keen interest to drive their own learning. Applies theoretical knowledge to practice Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.Data engineering Concepts: Experience in working with data lake, data warehouse, data mart and Implemented ETL/ELT and SCD concepts. ETL or Data integration tool: Experience in Talend is highly desirable. Analytics: Fluent with SQL, PL/SQL and have used analytics tools like Big Query for data analytics Cloud experience: Experienced in GCP services like cloud function, cloud run, data flow, data proc and big query. Data sources: Experience of working with structure data sources like SAP, BW, Flat Files, RDBMS etc. and semi structured data sources like PDF, JSON, XML etc. Flexible Working Hours: This role requires the flexibility to work non-traditional hours, including providing support during off-hours or weekends for critical data pipeline job runs, deployments, or incident response, while ensuring the total work commitment remains a 40-hour week. Data Processing: Experience in working with any of the Data Processing Platforms like Dataflow, Databricks. Orchestration: Experience in orchestrating/scheduling data pipelines using any of the tools like Airflow and Alteryx Keep our data separated and secure across national boundaries through multiple data centers and Azure regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Skills And Experience Deep knowledge in manipulating, processing, and extracting value from datasets; Atleast 2 years of FMCG/CPG industry experience. + 5 years of experience in data engineering, business intelligence, data science, or related field; Proficiency with Programming Languages: SQL, Python, R Spark, PySpark, SparkR, SQL for data processing; Strong project management skills and ability to plan and prioritize work in a fast-paced environment; Experience with: MS Azure Data Factory, MS Azure Data Lake Store, SQL Database, SAP BW/ ECC / HANA, Alteryx, Tableau; Ability to think creatively, highly-driven and self-motivated; Knowledge of SAP BW for HANA (Extractors, Transformations, Modeling aDSOs, Queries, OpenHubs) No Relocation support available Business Unit Summary Headquartered in Singapore, Mondelēz International’s Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytics & Modelling Analytics & Data Science Show more Show less