Manager_Databricks - Data and Analytics

Job Description

We are seeking a talented Data Engineer with strong expertise in Databricks, specifically in Unity Catalog, PySpark , and SQL, to join our data team. you'll play a key role in building secure, scalable data pipelines and implementing robust data governance strategies using Unity Catalog. Key Responsibilities Design and implement ETL/ELT pipelines using Databricks and PySpark . Work with Unity Catalog to manage data governance, access controls, lineage, and auditing across data assets. Develop highperformance SQL queries and optimize Spark jobs. Collaborate with data scientists, analysts, and business stakeholders to understand data needs. Ensure data quality and compliance across all stages of the data lifecycle. Implement best practices for data security and lineage within the Databricks ecosystem. Participate in CI/CD, version control, and testing practices for data pipelines. Required Skills Proven experience with Databricks and Unity Catalog (data permissions, lineage, audits). Strong handson skills with PySpark and Spark SQL. Solid experience writing and optimizing complex SQL queries. Familiarity with Delta Lake, data lakehouse architecture, and data partitioning. Experience with cloud platforms like Azure or AWS. Understanding of data governance, RBAC, and data security standards. Preferred Qualifications Databricks Certified Data Engineer Associate or Professional. Experience with tools like Airflow, Git, Azure Data Factory, or dbt . Exposure to streaming data and realtime processing. Knowledge of DevOps practices for data engineering. Mandatory skill sets Databricks Preferred skill sets Databricks Education qualification BE/BTECH, ME/MTECH, MBA, MCA Education Degrees/Field of Study required Master Degree Computer Applications, Master of Business Administration, Bachelor of Engineering, Master of Engineering, Bachelor of Technology Degrees/Field of Study preferred Required Skills Databricks Platform Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling