Data Engineer Databricks

3 weeks ago


Gurgaon, Haryana, India Truelancer Full time

Job Title: Data Engineer (Databricks)

Experience: 4 - 8 Yrs

Mandatory Skills: Pyspark, Azure, ADF, Databricks, ETL, SQL

Responsibilities:

  • Design and build efficient data pipelines using Spark-SQL and PySpark in Azure Databricks to drive business growth.
  • Create scalable ETL processes using Azure Data Factory to ensure seamless data integration.
  • Develop and maintain a robust Lakehouse architecture on ADLS/Databricks to optimize data storage and retrieval.
  • Perform meticulous data preparation tasks including data cleaning, normalization, deduplication, and type conversion to ensure data accuracy.
  • Collaborate with the DevOps team to deploy solutions in production environments, ensuring high uptime and minimal latency.
  • Identify and rectify data discrepancies by executing workarounds and implementing corrective actions to prevent future errors.
  • Contribute as a valued member of the global Analytics team, providing actionable insights and innovative solutions to address data-related challenges.
  • Work closely with Data Science and Business Intelligence colleagues worldwide to share knowledge, leverage ideas, and promote best practices.
  • Lead projects involving cross-functional teams and participate in initiatives led by other team members, driving collective success.
  • Apply change management principles, including training, communication, and documentation, to smoothly manage upgrades, changes, and data migrations.

As a senior Data Engineer at Truelancer, you will have the opportunity to design and implement cutting-edge data solutions that drive business outcomes. With a focus on innovation and collaboration, we strive to create a culture that fosters growth, creativity, and mutual respect.



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