ValueMomentum - Databricks Lead

Job Summary: We are looking for an experienced Databrick Lead with strong hands-on experience in AWS, Databricks, Oracle, PySpark, ADF, DATA Quality, and PL/SQL. The candidate will be responsible for designing scalable data solutions, optimizing data pipelines, and providing technical leadership to the data engineering team. Key Responsibilities: - Design and develop scalable data pipelines using AWS, Databricks, ADF, and Oracle. - Develop data processing and transformation solutions using PySpark and Spark SQL. - Develop and optimize complex SQL and PL/SQL queries. - Implement Databricks Lakehouse, Delta Lake, Unity Catalog, and Lakehouse Federation. - Manage Databricks Views, permissions, privileges, and access controls. - Implement Databricks Asset Bundles (DABs), Jobs, Workflows, and Triggers. - Integrate Oracle data with AWS and Databricks platforms. - Work with AWS services such as S3, Glue, Lambda, IAM, and CloudWatch. - Perform data quality, validation, reconciliation, and performance optimization. - Provide technical guidance, code reviews, and mentorship to the data engineering team. Tech Stack: - AWS, Databricks, Oracle, PySpark, PL/SQL, Unity Catalog, Lakehouse Federation, Databricks Asset Bundles, Views & Access Management. Candidate Profile: - 8+ years of experience in Data Engineering/Data Platforms. - Strong hands-on experience in AWS, Databricks, Oracle, PySpark, ADF, PL/SQL, and Data quality. - Experience with advanced Databricks capabilities and real-world implementation. - Strong technical leadership, problem-solving, and communication skills.