Data Engineer
2 weeks ago
Role & responsibilities
- Around 6+ years of experience in data engineering or cloud computing data development
- Design, develop, and optimize ETL/ELT data pipelines using Apache Spark (PySpark or Scala), AWS Glue, and Azure Data Factory
- Work with structured and unstructured data to build scalable ingestion and transformation workflows across cloud platforms.
- Build data lake and data warehouse solutions using AWS S3, Azure Data Lake
- Collaborate with data scientists, analysts, and application developers to support advanced analytics, reporting, and ML workflows
- Implement job orchestration, monitoring, and error handling for reliable pipeline execution.
- Maintenance and support of Data Pipeline.
- Data load monitoring
- Data Validation and quality checks
- Identify and optimize ingestion pipelines in consultation with Customer
Data: L2/L3 Support
- Investigate Glue job failures and restart
- Fix minor transformation logic or input data issues
- Resolve dependency failures in Glue workflows
- Tune job configurations
- Impact Analysis and RCA
- 8x5 support model
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