Lead Data Engineer-SCM Integration & AWS Databricks
India - Bangalore - 5th floor, building no. 3, Prestige technostar
INR 2000K-3000K (estimate) Senior-level Full Time
Tasks
- Apply lakehouse Delta Lake and medallion architecture
- Build data integration solutions for supply chain analytics
- Design scalable data pipelines
- Develop ELT/ETL workflows
- Engineer AWS cloud native data solutions
- Implement data quality monitoring governance
- Mentor junior data engineers via code reviews
- Optimize Spark jobs for performance and cost
- Orchestrate and monitor data pipelines
- Support testing deployment and production support
- Translate business requirements into technical designs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lambda | Amazon EMR | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Spark | Automated testing | CI/CD | Data Modeling | Data Pipeline Monitoring | Data Quality | Data integration | Data pipeline | DataOps | Databricks | Delta Lake | ELT | ETL | Fault-tolerant | Fault-tolerant systems | Lakehouse | Medallion Architecture | Pipeline monitoring | Python | SQL | Spark optimization | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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