8,952 aws data engineer jobs in India.

... Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability).- Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, ...

... in Azure / AWS cloud deployments. Knowledge of Agile methodology and DevOps practices. Exposure to containerization (Docker/Kubernetes). Skills: .NET Core, C#, https://jobeax.com/link/GrYTXLZMpxEMJknV MVC, Angular/React, JavaScript, TypeScript, HTML5, CSS3, SQL Server, REST API, Entity Framework, Git, CI/CD, Azure/AWS

... in Azure / AWS cloud deployments. Knowledge of Agile methodology and DevOps practices. Exposure to containerization (Docker/Kubernetes). Skills: .NET Core, C#, https://jobeax.com/link/GrYTXLZMpxEMJknV MVC, Angular/React, JavaScript, TypeScript, HTML5, CSS3, SQL Server, REST API, Entity Framework, Git, CI/CD, Azure/AWS

... within distributed, cross-functional engineering teams. Experience with Kubernetes and container orchestration. Knowledge of additional Infrastructure as Code tools such as Terraform or AWS CDK. Experience with observability and monitoring solutions such as AWS CloudWatch, Datadog, Splunk, or Grafana. Languages English:

... integrations. Assist in backend application development using C# and .NET Core. Support the development of microservices-based applications under guidance from senior engineers. Work with AWS services such as EC2, S3, Lambda, and API Gateway. Participate in code reviews, debugging, and troubleshooting activities. Write unit tests ...

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... high impact projects by collaborating with Engineering, Product Management and Design, Data Engineering and Research and Insights teams. Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team - Experience applying your Data ...

... Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce to ground AI solutions in real enterprise reality. - Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows. - Partner across product, engineering, business, and customer-facing ...

... and classification Drive adoption of our Data Cataloguing and Data Quality Platform while managing data access requests and agreements Ensure compliance with Data Golden Rules through enforcement mechanisms and ongoing monitoring Data Governance — developing level; establishing policies that ensure data integrity and regulatory ...

... Experience with ML model serving infrastructure: REST or gRPC inference endpoints, input/output validation, latency budgeting, and monitoring. - Solid backend engineering fundamentals: REST APIs, relational databases (PostgreSQL preferred), async patterns, and cloud infrastructure (AWS, GCP, or Azure). - Experience with observability ...

... consultants, and training vendors. Experience running a vendor bench with documented backup coverage for every critical delivery. Data Engineering, Machine Learning Engineering, Software Engineering, Cloud Platforms (GCP or AWS), Business Analysis, Test Automation. Practical familiarity with LLMs, prompt engineering, agentic systems, ...

... maintain data models - Perform data analysis activities to capture data requirements and represent them in data model visualizations - Manage the life cycle of the data model from requirements to design to implementation to maintenance - Work closely with data engineers to create optimal physical data models - Identify areas ...

... Experience Bachelor's degree in Computer Science, related technical field, or equivalent practical experience Certification in one or more of the hyperscalers (Azure, AWS, and Google GCP) - otherwise, you can obtain certifications with Kyndryl Experience with DevOps tools and modern engineering practices The 'Kyn' in Kyndryl means ...

... clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity ...

... clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity ...

... licensing efficiency.- Design and maintain transparent cost allocation and chargeback models that improve accountability across business units.- Partner with engineering and development teams to promote cost-efficient architecture and operational best practices.- Support compliance with data governance, privacy, security, ...

... licensing efficiency.- Design and maintain transparent cost allocation and chargeback models that improve accountability across business units.- Partner with engineering and development teams to promote cost-efficient architecture and operational best practices.- Support compliance with data governance, privacy, security, ...

Senior Data Scientist About UptimeAI: UptimeAI provides AI reasoning agents that help industrial operations teams make goal-oriented, real-time decisions. Industrial facilities are rich in data but constrained by the expertise required to maintain and interpret it. As experienced engineers retire and operational complexity ...

... requirements - Present findings to stakeholders in a clear and concise manner - Ensure data accuracy, integrity, and consistency - Support business decisions through data-driven recommendations Key Requirements : - Education : Bachelors degree in business, Economics, Engineering, Statistics, or related field. Masters degree/MBA ...

... turning raw data into accurate, timely, and trusted intelligence that drive decisions at the executive and departmental level. You will work closely with our Data Engineers, DIM Team Lead, and business partners to build dashboards, define KPIs, and maintain rigorous data quality. This role is critical to the integrity and ...