Databricks Engineer

Job description

**Databricks engineer Roles and Responsibilities:** Responsible for data management activities related to the migration of on-prem sources to cloud systems using Databricks architecture and solutions. In this role, you will be responsible for the development and maintenance of data pipelines and analytics solutions in a cloud-based environment. **Desired Candidate Profile:** - Minimum 4 years of professional experience with working knowledge in a Data and Analytics role with a Global organization - 4 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. has context menu