Role: Sr AWS Data Engineer

Experience: 6 to 9 yrs

Budget: 25 to 28 LPA

Location: Bangalore

:

- Design, develop, and maintain scalable data pipelines and ETL/ELT solutions on AWS.
- Strong hands-on experience with AWS Glue, S3, Lambda, Redshift, EMR and related AWS data services.
- Develop data processing solutions using Python and SQL.
- Experience with Apache Spark/PySpark for large-scale data processing.
- Build and optimize data warehouses, data lakes, and data integration workflows.
- Implement data quality, validation, monitoring, and performance optimization.
- Work with structured and unstructured data across multiple sources.
- Collaborate with Data Scientists, Analysts, Architects, and Business teams to deliver data solutions.
- Follow best practices for security, governance, scalability, and cost optimization on AWS.

Must Have Skills:

AWS | Python | SQL | AWS Glue | S3 | Redshift | PySpark/Spark | ETL/ELT | Data Pipelines | Data Warehousing

Valuable to Have:

AWS Certified Data Engineer | Terraform | Airflow | Kafka | AWS Lake Formation | CI/CD | Git

📌 Sr AWS Data Engineer | Big4 | 6 to 9 yrs | 25 to 28 LPA (Bengaluru)
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