Data Engineer (Senior-Lead)
Tasks
- Apply DataOps security and governance
- Apply version control
- Build ELT and ETL pipelines
- Coordinate client communication and risks
- Deliver data projects end to end
- Design and build cloud data lakes
- Design and build cloud lakehouses
- Develop data models
- Embed AI coding assistants and agentic workflows
- Ensure data quality and observability
- Implement CI/CD for data
- Implement medallion architecture
- Lead data engineering team
- Manage infrastructure as code
- Plan prioritize and review code
- Support solution design and technical estimation
- Use workflow orchestration
Perks/Benefits
- Commuting allowance
- Continuous learning
- Health and life insurance
- Hybrid work model
- Meal allowance
- Onboarding buddy
- Udemy for Business access
- Well-being activities
Skills/Tech-stack
AWS | Apache Iceberg | Atlan | Azure | CI/CD | Collibra | DBT | Data Governance | Data Modeling | Data Quality | DataOps | Databricks | Delta Lake | ELT | ETL | Infrastructure as Code | Medallion Architecture | Microsoft Purview | Power BI | Python | Qlik | SQL | Security and Governance | Spark | Streaming | Tableau | Unity Catalog | Version control | Workflow Orchestration | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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