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3 days ago
Job Title: Senior Data Engineer (Lead)
About the RoleWe are seeking a highly skilled Senior Data Engineer to lead our data engineering team. The ideal candidate will have extensive experience in designing, developing, and optimizing ETL/ELT data pipelines using Apache Spark, AWS Glue, and Azure Data Factory.
- 6+ years of experience in data engineering or cloud computing data development
- Design, develop, and optimize ETL/ELT data pipelines using Apache Spark, 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, and AWS Glue
- 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
Bachelor's degree in Computer Science or related field; Master's degree preferred
Required Skills:
- AWS Glue
- ADF
- ADB
- Immediate Joiner
Competitive salary and benefits package
Ongoing training and professional development opportunities
Collaborative and dynamic work environment
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