Must Have Skills:
Professional experience in data integration and management
Hands on development experience in AWS Glue, Lambda functions, AWS Athena, Redshift, Pyspark is a Must
Hands on working experience in AWS GLUE ETL tool and having positive knowledge on any of the ETL tools(Informatica cloud, Talend etc.)
Must have working experience with SQL, and databases (e.g.: Postgres, Redshift) implementing Data Models.
Expertise with Python Language and Apache Spark. Have working experience in projects involving these.
Strong hands on exposure to AWS Analytics services particularly Lambda, Step functions, Athena, Glue, Data-Pipelines
Understanding and technical knowledge on AWS service like EC2, S3. Should have used these technologies in previously executed projects.
Solid AWS development experience for data ETL/pipeline/integration/automation work.



Should have a deep understanding of BI & Analytics Solution development lifecycle.
Full Flexed in AWS cloud development & Automation for Analytics. Should have a deep understanding of AWS Services (Redshift, Glue, Lambda, Athena, S3, EC2), Visual Studio, SQL Server, SSIS, Matillion; Python
Strong experience on real-time scalable workflow implementation.
DevOps profiles wont suit this Role.

Valuable to Have Skills:
Excellent written and oral communication skills; Ability to communicate effectively with technical and non-technical staff.
Experience working on multiple concurrent projects.
Excellent problem-solving skills.

📌 Aws Data Engineer Delhi
🏢 Tata Consultancy Services
📍 Delhi