6+ Years

Required Core Skills & Qualifications:

- Programming & Data Processing: Solid proficiency in Python and PySpark for large-scale data processing and ETL development.
- Data Warehousing & SQL: Expertise in SQL for complex querying, data manipulation, and schema design.(Optional, but highly preferred): Proven experience in SQL optimization and performance tuning.
- ETL Development: Demonstrable experience in designing, building, and maintaining robust ETL/ELT data pipelines.
- Cloud Data Platform (Azure Focus):Hands-on experience with Azure Databrick. Proficiency with core Azure Analytics Services including Azure Data Factory, Azure SQL Server, and Azure Key Vault.
- DevOps & CI/CD: Experience implementing CI/CD pipelines from GitHub (including GitHub Actions) for automated testing (unit tests), build, and deployment processes.
- Containerization & Orchestration: Familiarity and practical experience with OpenShift (setup, deployment-ready configurations, and management).Experience with HELM for deploying applications on Kubernetes/OpenShift.
- Monitoring & Observability: Experience in setting up and configuring Grafana for dashboards to monitor data quality and pipeline health.

📌 Senior Data Engineer (Bangalore Rural)
🏢 Datamatics
📍 Bangalore Rural