Senior Data Engineer
Tasks
- Build and optimize data-processing jobs
- Build reusable data pipeline frameworks
- Create CI CD pipelines for data workflows
- Design SLIs SLOs for pipelines
- Design and build ETL/ELT pipelines
- Design lakehouse medallion architecture
- Develop Airflow DAGs for orchestration
- Establish observability monitoring alerting
- Implement data contracts and schema registries
- Implement data quality validation frameworks
- Implement dbt transformations
- Modernize data platform for reporting analytics
- Partition and optimize table layouts
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Amazon Kinesis | Amazon S3 | Anomaly Detection | Apache Airflow | Apache Iceberg | Apache Kafka | Apache Spark | CI/CD | Clustering | Compaction | DBT | Data Catalogs | Data Contracts | Data Quality | Delta Lake | Dimensional Modeling | Docker | Docker containers | Git | Kubernetes | Logging | Medallion Architecture | Metadata Management | Monitoring | Partitioning | PySpark | Python | SLI | SLO | SQL | Schema evolution | Star Schema | Terraform | Window Functions
Education
N/A
Roles
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