5–8 yrsPuneOn-siteDirect career pageEst. 15–28 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, operate, and optimize the Azure Databricks data platform and enterprise data lake supporting analytics, AI, and production data products.
- Design and maintain production-grade data pipelines and transformation workflows using Python, SQL, PySpark, and optionally Scala, ensuring scalability and data quality.
- Manage platform operations including workspace administration, infrastructure maintenance, monitoring, troubleshooting, performance tuning, security, and cost management in collaboration with cross-functional teams.
Minimum Requirements
- 5–8 years of data engineering experience with at least 3 years on Azure Databricks, Apache Spark, and Azure cloud services.
- Bachelor’s or Master’s degree in computer science, data engineering, software engineering, or related technical field.
- Proven experience in developing and operating production data platforms with expertise in data integration, modeling, performance tuning, and DevOps practices.
- Work Experience Required: 5–8 years; Location: Pune, MH, IN; Contract-to-Hire basis.
Ideal Candidate Profile
- Experienced in industrial environments with familiarity handling IoT or machine-generated data sets.
- Strong operational ownership of cloud-based data platforms involving security, cost control, and continuous production support.
- Technical expertise spanning Azure Databricks, Apache Spark, Unity Catalog, Terraform, Azure DevOps, and CI/CD for scalable data pipeline development and deployment.