Manager Azure Databricks

Minimum 5 years of professional experience with working knowledge in a Data and Analytics role with a Global organization-5 to 8 years of experience in working with Databricks tech stacks-Experience in leading development of Data and Analytics products, from Requirement Gathering State to Driving User Adoption-Develop and optimize ETL processes using Databricks and related tools like Apache Spark-Design efficient data processing systems and pipelines using Databricks, APIs, and other cloud services-Candidate with strong data transformation experience on Unity Catalog, Delta Tables, DLT-Strong proficiency in writing and optimizing SQL queries and working with databases-Ability to acquire specialized domain knowledge required to be more effective in all work activities-BI & Data-warehousing concepts are a must.-Design, develop, and maintain scalable ETL/ELT pipelines using PySpark on Databricks.-Ingest and transform data from multiple structured and unstructured sources including cloud storage (Azure Data Lake, AWS S3, etc.).-Optimize Spark jobs for performance and cost-efficiency on the Databricks platform.-Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality solutions.-Implement best practices in data engineering, including modular coding, unit testing, and version control (e.g., Git).-Automate data workflows and schedule jobs using Databricks Workflows or external orchestration tools (e.g., Airflow, Azure Data Factory).-Ensure data quality, integrity, and governance in all data pipelines.-Participate in code reviews, performance tuning, and system monitoring.-Document solutions, processes, and configurations.

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