Data Platform Engineer
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Key skills for this role
Key Skills for This Role
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Key Responsibilities
- Required Skills & Technologies
- - Python — async data pipelines, background jobs, scripting
- - PostgreSQL — schema design, migrations (Alembic), query optimization
- - Azure Data Lake Storage + Synapse Analytics
- - dbt — transformation, testing, documentation
- - Apache Airflow or Azure Data Factory
- - Data quality frameworks (Great Expectations, dbt tests, or custom)
- - Observability — structured logging, alerting, Azure Monitor or Prometheus/Grafana
- - Microsoft Graph API — SharePoint, M365 data extraction
- - Redis — queue management, caching
- - Docker — containerized pipeline jobs
- - SQL — advanced analytical queries, window functions, performance tuning
- Develop and maintain data pipelines for ingestion, processing, and storage of large datasets
- Implement ETL/ELT processes to transform raw data into usable formats
- Collaborate with cross-functional teams to understand data requirements and deliver solutions
- Ensure data quality, consistency, and reliability across platforms
- Optimize database performance and monitor platform health
- Assist in the design and implementation of data governance and security measures
- Document data infrastructure and processes for operational clarity
About BlackStone eIT
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