Dear Professionals
Greetings from TCS!!!
Job Title : AWS Data Engineer
Experience : 5-10 Years
Location : Only Bangalore
Mode of Interview : Face to Face (29th Nov-25)
- Strong hands-on experience with AWS Data Services :
- Amazon S3, Glue, Redshift, Athena, Kinesis, EMR.
- Expertise in AWS AI / ML Services :
- Amazon SageMaker, Comprehend, Rekognition, Lex, Translate.
- Proficiency in Python, SQL, and data engineering frameworks.
- Experience with ETL design, data modeling, and data lake architecture.
- Familiarity with AWS security best practices (IAM, encryption, compliance).
- Strong understanding of MLOps and model deployment on AWS.
Good to have skill :
Knowledge of Generative AI and LLM integration using AWS services.Experience with AWS Lambda, Step Functions, and serverless architectures.Exposure to data visualization tools (QuickSight, Tableau).Familiarity with multi-cloud or hybrid cloud strategies.Understanding of AI governance, bias detection, and responsible AI practices.Roles and responsibilities :
Architect and implement data pipelines and AI / ML solutions using AWS services.Design and optimize data lakes, warehouses, and analytics platforms on AWS.Develop and deploy machine learning models using Amazon SageMaker and integrate them into production workflows.Collaborate with data scientists, engineers, and business teams to deliver end-to-end AI solutions.Ensure data security, compliance, and governance across AWS environments.Implement real-time and batch data processing using AWS services like Kinesis, Glue, and Lambda.Optimize cost, performance, and scalability of data and AI workloads.Provide technical leadership, best practices, and mentoring to teams.If you are Interested in the above opportunity kindly share your updated resume to pullagura.gokulsaiakhil@tcs.com immediately with the details below (Mandatory)
Name : Contact No.
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Fulltime highest qualification (Year of completion with percentage scored) :
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Any gaps between your education or career (If yes pls specify the duration) :
Will you be able to join within 30 / 45 days? (Yes / NO)
Is Bangalore location is fine? (Yes / NO)
Available for Face to Face inetrview : 29th nov-25 (Yes / No) :