Data Bricks Engineer

60 minutes ago


Greater Bengaluru Area, IN Relevance Lab Full time

Job Summary

We are seeking an experienced Databricks Developer with strong SQL skills and hands-on experience using Microsoft Copilot (or equivalent AI-assisted development tools). The ideal candidate will be responsible for designing, developing, and optimizing data pipelines, supporting analytics workloads, and improving overall data engineering efficiency through automation and AI-driven solutions.


Key Responsibilities

  • Design and implement scalable data pipelines and ETL workflows using Azure Databricks or similar platforms.
  • Develop and optimize complex SQL queries, procedures, and performance tuning for large datasets.
  • Leverage Copilot or similar AI-based coding assistants to accelerate code generation, debugging, and documentation.
  • Integrate Databricks with Azure Data Lake, Synapse, and other cloud data services.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver reliable data solutions.
  • Ensure data quality, governance, and security best practices.
  • Participate in code reviews and continuous improvement initiatives.


Required Skills and Experience

  • 5–8 years of hands-on experience in Data Engineering or related roles.
  • Strong expertise in Databricks, PySpark, and SQL.
  • Experience with Azure or AWS cloud environments.
  • Familiarity with AI-assisted coding tools like Copilot, CodeWhisperer, or ChatGPT for coding.
  • Solid understanding of data modeling, performance tuning, and distributed computing concepts.
  • Experience integrating with data orchestration tools (e.g., Airflow, Azure Data Factory).
  • Excellent problem-solving and analytical skills.


Preferred Qualifications

  • Knowledge of Delta Lake, Unity Catalog, and Lakehouse architecture.
  • Exposure to CI/CD and DevOps practices in a data environment.
  • Familiarity with Python, Scala, or SQL-based transformations.
  • Strong communication and collaboration abilities in an agile team environment.



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