5+ yrsHyderabadOn-siteDirect career pageEst. 18–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain ETL/ELT pipelines for ingesting data from multiple sources into data warehouse and optimize for performance and scalability.
- Collaborate with data architects, analysts, and scientists to support data needs, ensure data quality, integrity, and security.
- Partner with Enterprise Data and Analytics Platform team and other data teams to implement data and technology strategy and enable adoption.
Minimum Requirements
- 3-5 years of hands-on experience in data engineering and operating data solutions in cloud environments.
- Expertise in AWS data engineering ecosystem including AWS Glue, Redshift, Athena, CloudFormation, Lambda, S3, Glue Crawlers, and building APIs using AWS services.
- Strong programming skills in Python and experience with ETL, SQL and cloud-based data technologies.
- Work Experience Required: 3-5 years data engineering experience; Location requirement: Hyderabad, India (implied but not explicitly mentioned)
Ideal Candidate Profile
- Experienced with cloud-native data platforms, DataOps, and product-based agile environments with minimal oversight.
- Familiar with full data lifecycle management including data lakes, master/reference data management, and analytics/AI ML integration.
- Able to lead process improvements and execute complex data engineering solutions in a fast-paced global enterprise setting.