VP - Senior Data Engineer (Python/Snowflake/Apache Airflow)
INR 3845K-5500K (estimate) Senior-level Full Time
Tasks
- Build metadata driven processing frameworks
- Deliver product demonstrations and user workshops
- Design, develop, and optimize data pipelines
- Develop test and integration automation frameworks
- Drive performance scalability resilience and observability improvements
- Implement data quality and governance capabilities
- Implement workflow orchestration
- Incorporate agentic AI capabilities into platform services
- Lead proof of concepts and technology evaluations
- Maintain technical documentation and validate content
- Manage metadata lineage and dependencies
- Participate in agile ceremonies
- Provide production support and perform root cause analysis
- Support deployment and release activities
- Translate business requirements into data platform designs
Perks/Benefits
- Comprehensive healthcare
- Flexible time off
- Hybrid work model
- Retirement plan
- Support for working parents
- Tuition reimbursement
Skills/Tech-stack
AWS | Agile | Apache Airflow | Apache Iceberg | Apache Kafka | Azure | CI/CD | DBT | Data Lineage | Data Modeling | Data Quality | Dependency management | Docker | Docker Compose | ELT | ETL | GCP | Git | Kafka | Kafka Connect | Kubernetes | Lineage | Metadata Management | Object storage | Observability | Partition Evolution | Python | Query Optimization | RAG | Retrieval | Retrieval-Augmented Generation | SQL | SQL Serverless | Schema evolution | Snowflake | Stored Procedures | Time Travel | User Defined Functions | Vector Databases
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science
Roles
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