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Databricks Professional

8 - 13 years

10 - 15 Lacs

Posted:1 week ago| Platform: Naukri logo

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Full Time

Job Description

Technical Leadership: Guide and mentor teams in designing and implementing Databricks solutions. Architecture & Design: Develop scalable data pipelines and architectures using Databricks Lakehouse. Data Engineering: Lead the ingestion and transformation of batch and streaming data. Performance Optimization: Ensure efficient resource utilization and troubleshoot performance bottlenecks. Security & Compliance: Implement best practices for data governance, access control, and compliance. Collaboration: Work closely with data engineers, analysts, and business stakeholders. Cloud Integration: Manage Databricks environments on Azure, AWS, or GCP. Monitoring & Automation: Set up monitoring tools and automate workflows for efficiency. Qualifications: 7+ years of experience in Databricks, Apache Spark, and big data processing. Proficiency in Python, Scala, or SQL. Strong knowledge of Delta Lake, Unity Catalog, and MLflow. Experience with ETL processes and cloud platforms. Excellent problem-solving and leadership skills.

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