Senior Data Engineer
Tasks
- Apply data governance
- Apply infrastructure as code
- Build API ingestion
- Build data models
- Build webhook ingestion
- Create data marts
- Deliver self service datasets
- Design data pipelines
- Handle PII data
- Implement CDC ingestion
- Implement CI/CD for data pipelines
- Implement data access controls
- Implement data lineage
- Implement data retention policies
- Implement data validation
- Ingest event streams
- Integrate third-party systems
- Maintain data pipelines
- Manage cloud resources costs
- Mentor junior engineers
- Optimize query performance
- Optimize storage layout
- Perform root cause analysis
- Process file ingestion
- Review designs and code
- Run data reconciliation
- Set up observability and alerting
- Support auditability
- Troubleshoot data incidents
- Tune orchestration schedules
- Use version control and automated testing
Perks/Benefits
- Career Growth & Development
- Collaborative inclusive work environment
- Opportunity to work on cutting-edge technology
- Passionate team
Skills/Tech-stack
AWS | Alerting | Apache Airflow | Apache Iceberg | Apache Kafka | Automated testing | Azure | Backfills | BigQuery | CDC | CI/CD | Cloud platform | DBT | Data Lineage | Data Modeling | Data Observability | Data Validation | Databricks | Delta Lake | Dimensional Modeling | Docker | ELT | ETL | Flink | Git | Google Cloud | Google Cloud Platform | Idempotency | Incremental Transformations | Infrastructure as Code | Kubernetes | Python | Query Optimization | REST API | Redshift | SQL | Snowflake | Spark | Terraform | Webhooks | Window Functions | “as-code”
Education
N/A
Roles
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