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Databricks Engineer
Databricks EngineerDataE2E Technologies • Gulbarga, IN
Databricks Engineer

Databricks Engineer

DataE2E Technologies • Gulbarga, IN
30+ days ago
Job description

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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    Engineer • Gulbarga, IN

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