Lead AWS Data Engineer
USD 141K-184K Senior-level Full Time
Tasks
- Act as technical lead and mentor engineers
- Analyze complex datasets for data mapping and integration
- Automate deployment using CI/CD and infrastructure-as-code
- Build monitoring and performance tuning strategies
- Build workflow orchestration with Airflow or Step Functions or Glue Workflows
- Define and implement data quality checks
- Design AWS data lake architectures
- Develop data pipelines and ETL ELT workflows
- Diagnose and resolve EMR cluster performance issues
- Gather requirements and translate into technical solutions
- Implement data ingestion transformation validation and publishing
- Optimize PySpark workloads for cost and performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS EMR | AWS Glue | AWS Glue Workflows | AWS Lambda | AWS S3 | AWS Step Functions | Amazon Athena | Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Spark | CI/CD | Data Ingestion | Data Lake | Data Modeling | Data Quality | Data Transformation | Data Validation | Data lake governance | ELT | ETL | Generative AI | Glue Catalog | Infrastructure as Code | Lake Formation | PySpark | SQL | Step Functions | Web Services | Workflow Orchestration | “as-code”
Education
Roles
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