Senior Developer - Data Engineering
Posted on: 13/12/2025
Job Description
Key Responsibilities :
- Develop and optimize data processing pipelines using Apache Spark / PySpark.
- Build and automate ETL workflows using AWS Glue Studio, Glue ETL, and Glue Catalog.
- Manage and maintain data storage solutions using Amazon S3.
- Monitor systems using AWS CloudWatch and ensure high performance and reliability.
- Use AWS DevOps practices to streamline deployments and improve operations.
- Manage AWS IAM roles and policies for secure data access.
- Troubleshoot data issues and perform Spark performance tuning.
- Ensure data quality, accuracy, and integrity across all workflows.
- Work closely with cross-functional teams to integrate data solutions into business processes.
- Stay updated on AWS best practices and emerging technologies.
Required Skills :
- Strong hands-on experience with:
- Python
- PySpark / Spark optimization
- SQL
- ETL development
- Glue Studio, Glue ETL, Glue Catalog
- S3
- CloudWatch
- IAM
- Strong problem-solving and analytical skills.
Nice to Have :
- Experience with data lake or data warehouse solutions.
- Familiarity with automation or orchestration tools
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Posted by
59
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1589521
