Principal Data Engineer
Tasks
- Build cross practice partnerships for analytics and AI use cases
- Champion DataOps maturity with CI CD IaC security observability and governance
- Define cloud data lake and lakehouse architecture standards
- Drive AI powered transformation
- Implement medallion architecture
- Lead and grow delivery teams
- Lead pre sales solution design and estimations
- Own end to end client engagement delivery quality
- Partner on practice growth and capability building
- Shape bid leadership and client conversations
Perks/Benefits
- Commuting allowance
- Continuous learning opportunities
- Health and life insurance
- Hybrid working model
- Meal allowance
- Modern onboarding buddy
- Personal development plan
- Well-being activities
Skills/Tech-stack
AWS | Apache Airflow | Apache Iceberg | Apache Kafka | Apache Spark | Atlan | Auto Loader | Azure | Azure Bicep | CDC | CI/CD | Collibra | DBT | Dagster | Data Governance | Data Quality | DataOps | Databricks | Databricks Vector Search | Databricks Workflows | Delta Lake | Feature Stores | Infrastructure as Code | Kubernetes | Microservices | Microsoft Purview | Observability | PGVector | Pinecone | Power BI | Prefect | Python | Qlik | RAG | SQL | SQL Orchestration | Security | Spark Structured Streaming | Structured Streaming | Tableau | Terraform | Unity Catalog | Vector Databases | Vector Search | Weaviate | “as-code”
Education
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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