Data Engineer
Business Office (Joy House 2) - Mumbai, India
INR 3000K Senior-level Full Time
Tasks
- Build and optimize data pipeline architecture
- Develop data models using algorithms
- Ensure consistent data delivery architecture
- Execute business analytics agenda
- Optimize data flow and collection
- Orchestrate and schedule data pipelines
- Support data initiatives for cross-functional teams
- Validate data and perform data reconciliation
Perks/Benefits
Skills/Tech-stack
Access Management | Airflow | Apache Airflow | Azure Data | Azure Data Factory | BigQuery | CI/CD | Cloud Composer | Cloud Functions | Cloud Storage | Data Factory | Data Lake | Data Mart | Data Quality | Data Reconciliation | Data Validation | Data Warehouse | Databricks | ELT | ETL | GKE | Git | Google Cloud | Google Cloud Storage | GraphQL | Identity & Access | Identity & Access Management | Jenkins | Looker | OAuth | PLSQL | PowerBI | Python | REST APIs | SQL | SQL Server | Slowly Changing Dimensions | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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