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Design, develop, and maintain scalable data pipelines and ETL/ELT solutions on AWS.
Solid 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
Positive to Have:
AWS Certified Data Engineer | Terraform | Airflow | Kafka | AWS Lake Formation | CI/CD | Git
📌 Sr Aws Data Engineer 6 To 9 Yrs 25 To 28 Lpa Bengaluru
🏢 Acme Services
📍 Bengaluru
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