Databricks Engineer

1 day ago

Dindigul, India DataE2E Technologies Full time

Job Title: Databricks Engineer (Remote) Location: 100 % Remote Job Type: Full-Time Shift timings: 3 pm - 11 pm IST About the Role: We are looking for an experienced Databricks Engineer with a strong background in data engineering and business intelligence to help build and optimize scalable, high-performance data solutions. The ideal candidate has hands-on experience in Databricks production environments, along with Power BI development and a deep understanding of modern data architecture. You will collaborate with cross-functional teams to create robust data pipelines, enable insightful reporting, and ensure the reliability, quality, and observability of data across platforms. Key Responsibilities - Design, develop, and maintain data pipelines and ETL processes on Databricks. - Lead the architecture and implementation of scalable, secure, and high-performance data solutions. - Develop and optimize semantic data models to support Power BI reporting and analytics. - Design, build, and maintain Power BI dashboards and reports for business stakeholders. - Collaborate with business users, data scientists, and analysts to gather requirements and deliver actionable data and visualization solutions. - Optimize data workflows for performance, cost-efficiency, and reliability. - Integrate data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses. - Implement best practices in data governance, security, and data quality management. - Ensure seamless data flow from Databricks to Power BI for real-time and batch reporting. - Mentor junior engineers and provide technical leadership in data engineering and BI best practices. - Troubleshoot and resolve issues in data pipelines and reporting layers, ensuring high data availability and integrity. Required Skills & Experience - 6–7 years of experience in Data Engineering and Analytics. - Proven Subject Matter Expertise in Databricks (including Databricks SQL, Delta Lake, and MLflow). - Strong hands-on experience with Power BI, including DAX, Power Query, and data modeling. - Strong experience with PySpark, Spark SQL, and Scala. - Hands-on experience with cloud platforms (Azure preferred; AWS/GCP a plus). - Proficiency in data modeling, ETL development, and data warehousing concepts. - Solid understanding of big data ecosystems (Hadoop, Kafka, etc.). - Strong SQL development skills with a focus on performance tuning. - Experience in implementing CI/CD pipelines for data and BI solutions. - Experience integrating Databricks with Power BI using DirectQuery and Import modes.

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