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 good 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.
- Strong 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.

Positive 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 (New Delhi)
🏢 Tata Consultancy Services
📍 New Delhi