Senior Data Engineer
Tasks
- Build data infrastructure
- Build data pipeline frameworks
- Define SLIs and SLOs for pipelines
- Design Lakehouse architectures
- Design data pipelines
- Enforce data contracts
- Implement data quality frameworks
- Implement observability practices
- Implement schema evolution and partitioning
- Maintain ETL/ELT pipelines
- Optimize Apache Spark jobs
- Optimize table layouts
- Orchestrate workflows with Airflow
- Process large-scale datasets
- Set up CI CD pipelines for data workflows
- Support automated deployments
- Transform data with DBT
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Amazon Kinesis | Amazon S3 | Anomaly Detection | Apache Airflow | Apache Iceberg | Apache Spark | CI/CD | Clustering | Compaction | DBT | Data Catalog | Data Contracts | Data Modeling | Data Observability | Data Quality | Delta Lake | Dimensional Modeling | Docker | ELT | ETL | Git | Kafka | Kubernetes | Logging | Medallion Architecture | Metadata Management | Monitoring | Pandas | Partitioning | Performance Tuning | PySpark | Python | SLI/SLO | SQL | SQL Performance | SQL Performance Tuning | SQL window functions | SQLAlchemy | Schema evolution | Spark Streaming | Star Schema | Terraform | Window Functions
Education
N/A
Roles
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