Lead Data Engineer (AWS Data Platform)
INR 1500K-2750K (estimate) Senior-level Full Time
Tasks
- Build data ingestion and transformation frameworks
- Collaborate with stakeholders and engineering teams on data requirements
- Conduct code reviews and technical design discussions
- Create and maintain technical documentation and data models
- Design scalable data pipelines using PySpark AWS Glue and Amazon EMR
- Develop enterprise data warehouse solutions using Amazon Redshift
- Ensure data quality, integrity, security, and governance
- Implement ETL ELT processes across systems
- Monitor data pipelines and identify optimization and automation opportunities
- Perform performance tuning for Spark jobs ETL pipelines SQL and Redshift workloads
- Troubleshoot production data issues with root cause analysis
- Write complex SQL queries and stored procedures
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS Step Functions | Agile | Amazon CloudWatch | Amazon EMR | Amazon Redshift | Amazon S3 | CI/CD | Data Governance | Data Quality | Data Warehousing | DevOps | Dimensional Modeling | ELT | ETL | IAM | PySpark | SQL | Scrum | Step Functions | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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