Lead Data Engineer
Tasks
- Apply AI coding assistants and agentic workflows
- Apply version control CI CD Infrastructure as Code DataOps security and governance
- Build and maintain ELT ETL pipelines and data models
- Collaborate with AI ML BI and application teams
- Design and build cloud data lakes and lakehouses
- Implement data quality and observability controls
- Implement medallion architecture
- Lead delivery team for client engagements
- Orchestrate pipelines with workflow schedulers
- Own end to end engagement scope estimates milestones risks quality and client communication
- Plan prioritize mentor and run code reviews
- Support solution design technical estimations and pre sales
Perks/Benefits
- Commuting allowance
- Continuous learning opportunities
- Health and life insurance
- Hybrid working model
- Meal allowance
- Onboarding buddy
- Personalized development plan
- Well-being activities
Skills/Tech-stack
AWS | Apache Airflow | Apache Iceberg | Apache Spark | Azure | CI/CD | Dagster | Data Lakehouse | Data Modelling | Data Observability | Data Quality | DataOps | Databricks | Databricks Workflows | Delta Lake | ELT | ETL | Infrastructure as Code | Medallion Architecture | Prefect | Python | SQL | Security and Governance | Version control | “as-code”
Education
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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