Principal Data Engineer
Tasks
- Build cross practice partnerships
- Champion engineering excellence
- Define data lake and lakehouse architecture standards
- Drive AI powered data engineering transformation
- Ensure data security and governance
- Implement CI/CD for data
- Implement medallion architecture
- Improve DataOps maturity
- Lead delivery teams
- Lead pre-sales solution design
- Lead technical estimations and bid responses
- Manage engagement risk and quality
- Own end to end delivery portfolio
- Partner on practice growth and hiring
- Set technical direction
- Use infrastructure as code
Perks/Benefits
- Commuting allowance
- Continuous learning
- Health insurance
- Hybrid work model
- Life insurance
- Meal allowance
- Personalized development plan
- Udemy for Business access
- Well-being activities
Skills/Tech-stack
AWS | Apache Airflow | Apache Iceberg | Apache Kafka | Apache Spark | Atlan | Azure | Bicep | CDC | CI/CD | Collibra | DBT | Dagster | Data Governance | DataOps | Databricks | Databricks Workflows | Delta Lake | Feature Store | Infrastructure as Code | Kubernetes | Microsoft Purview | Power BI | Prefect | Python | Qlik | RAG | SQL | Spark Structured Streaming | Structured Streaming | Tableau | Terraform | Unity Catalog | Vector Database | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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