Lead - Data Engineer
INR 3000K-4200K (estimate) Senior-level Full Time
Tasks
- Build ETL/ELT workflows
- Design scalable data pipelines
- Develop data models and data integration
- Enable analytics BI reporting and machine learning data assets
- Ensure data governance metadata management and data lineage
- Implement GDPR compliant data security and access controls
- Implement data quality checks and reconciliation controls
- Monitor troubleshoot and optimize pipeline and database performance
- Optimize SQL queries and stored procedures
- Orchestrate data workflows with Airflow
- Process and transform data for warehouses and lakehouse platforms
- Support CI CD version control and deployment automation
Perks/Benefits
- Be Well program
- Continuous feedback
- Hybrid work environment
- Personalized development goals
- Travel opportunity
Skills/Tech-stack
Access Control | Airflow | Apache Spark | BODS | CI/CD | DBT | Data Catalog | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Quality | Data Reconciliation | Data Validation | Data Warehouse | Data masking | Dataiku | ELT | ETL | Encryption | GDPR | Infrastructure as Code | Java | Kafka | Lakehouse | Metadata Management | Microstrategy | Nifi | ODI | Oracle | Power BI | Python | Role-Based Access | Role-Based Access Control | SQL | Scala | Snowflake | Spark/PySpark | Version control | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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