AWS ETL Data Engineer - HYBRID
Tasks
- Build data models and dimensional modeling
- Conduct code and design reviews
- Design scalable data pipelines
- Develop Redshift SQL and PLSQL
- Develop and maintain ETL/ELT processes
- Ensure privacy compliance and data governance
- Ingest and process structured and semi structured data
- Integrate multiple data sources
- Manage data subject requests
- Provide production support and root cause analysis
- Support analytics and customer data platforms
- Troubleshoot complex data issues
- Tune queries and optimize performance
Perks/Benefits
- 401k matching
- Dental insurance
- Disability insurance
- Employee assistance program
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Airflow | Apache Iceberg | Avro | CSV | Customer Data | Customer Data Platform | Data Governance | Data Modeling | Data Processing | Data Security | Data platform | Dimensional Modeling | Distributed data | Distributed data processing | EC2 | ELT | ETL | Excel | Hive | JSON | Kafka | MySQL | ORC | PLSQL | Parquet | Performance optimization | Python | Query Tuning | Redshift | S3 | S3 Tables | SQL | Scala | Shell Scripting | Spark | XML
Education
N/A
Roles
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