AWS Glue Data Engineer(Redshift+Pyspark+Kinesis) - Senior Associate
PwC (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 12–20 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and build AWS Glue data pipelines leveraging Redshift, PySpark, and Kinesis for data movement, transformation, and integration.
- Develop and optimize data models and transformation logic to support cloud-based data warehouses and analytical platforms.
- Manage workstreams including mentoring junior team members, troubleshooting data issues, and collaborating with client stakeholders for requirement gathering and solution delivery.
Minimum Requirements
- Bachelor's degree in any field.
- Minimum 5+ years of relevant experience in data engineering.
- Proficiency in AWS Glue, Redshift, PySpark, and Kinesis for data pipeline development and streaming integration.
- Fluent oral and written English communication skills.
Ideal Candidate Profile
- Experienced with cloud-based data modernization initiatives focusing on AWS data engineering services.
- Skilled in performance tuning and optimizing Redshift queries and Spark jobs for high-throughput data pipelines.
- Capable of translating complex data requirements into technical solutions while providing mentorship to junior team members.