Senior Data Engineer
Tasks
- Build ETL processes
- Define data strategies
- Design and develop scalable data pipelines
- Enforce data security and compliance
- Establish data engineering best practices
- Gather requirements with cross-functional teams
- Implement data governance policies
- Implement data validation and cleansing
- Implement indexing strategies
- Integrate data ingestion and processing
- Lead tool and technology evaluation
- Monitor system performance metrics
- Set up data quality monitoring
- Tune database queries for performance
Perks/Benefits
Skills/Tech-stack
Airbyte | Amazon S3 | Amazon Web Services | Apache Airflow | Apache Flink | Apache Kafka | ClickHouse | DBT | Data Cleansing | Data Modeling | Data Quality | Data Validation | Data Warehousing | Data integration | Data quality monitoring | Database performance | Database performance tuning | ETL | Helm | Java | Kubernetes | Performance Tuning | Python | Quality monitoring | SQL | Scala | Superset | Trino | Web Services
Education
N/A
Roles
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