Data Engineer - AWS
Fractal (company site, opens in a new tab)4–8 yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines primarily on AWS.
- Manage and optimize databases including Redshift, PostgreSQL, and Oracle.
- Write efficient SQL queries and Python/PySpark scripts to support data processing and analysis.
Minimum Requirements
- 4-8 years of experience in Data Engineering or similar role.
- Proficiency in PySpark, SQL, AWS Glue, Athena, Redshift, Airflow, and Informatica PowerCenter.
- Experience with database management including Redshift, PostgreSQL, and Oracle.
- Location: Bengaluru.
Ideal Candidate Profile
- Experienced in developing scalable ETL pipelines and managing cloud-based data solutions on AWS.
- Strong hands-on skills with SQL, Python/PySpark and database optimization for large datasets.
- Familiar with collaborative, cross-functional environments and supporting data integrity and quality.