Data Engineer
Tasks
- Add logging monitoring and alerting for pipelines
- Build dbt staging and mart layers
- Build ingestion pipelines
- Configure AWS IAM and S3 lifecycle
- Create data products with schemas tests documentation
- Deliver dashboards and self serve views
- Enforce PII compliance and lawful basis for joins
- Ensure idempotency partitioning re runs and backfills
- Implement ClickHouse tables and medallion lake
- Implement data quality checks freshness volume schema drift
- Integrate batch data from S3 BigQuery Redshift
- Manage lineage and metadata
- Model data using grain keys and SCDs
- Orchestrate data workflows with Airflow
- Process data with Spark
- Provide governed data access layer for AI agents
- Set up CI/CD with GitLab
- Use Docker
Perks/Benefits
- Annual health checkups
- Collaborate with industry professionals
- Preferential services pricing
- Premium healthcare
Skills/Tech-stack
AWS | AWS EMR | AWS IAM | Amazon S3 | Apache Airflow | ClickHouse | DBT | Data Governance | Data Modeling | Docker | GitLab CI | Idempotency | PII compliance | PySpark | Python | SCD | SQL | Spark
Education
N/A
Roles
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