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Urgent! Data Engineer (Data Bricks) Job Opening In Gurugram – Now Hiring Confidential

Data Engineer (Data Bricks)



Job description

Responsibilities:

  • Data Pipeline Design & Build: Design and build robust data pipelines using Spark-SQL and PySpark in Azure Databricks.
  • ETL Pipeline Development: Design and build efficient ETL pipelines using Azure Data Factory (ADF).
  • Lakehouse Architecture: Build and maintain a Lakehouse architecture in ADLS (Azure Data Lake Storage) / Databricks.
  • Data Preparation: Perform comprehensive data preparation tasks, including data cleaning, normalization, deduplication, and type conversion.
  • Production Deployment: Collaborate with the DevOps team to deploy data solutions into production environments.
  • Data Process Control & Correction: Control data processes and take immediate corrective action when errors are identified, including executing workarounds and identifying root causes and solutions for data errors.
  • Team Collaboration: Participate as a full member of the global Analytics team, providing solutions and insights into data-related items.
  • Knowledge Sharing: Collaborate with Data Science and Business Intelligence colleagues globally to share key learnings, leverage ideas, solutions, and propagate best practices.
  • Project Leadership: Lead projects that include other team members and actively participate in projects led by other team members.

Required Skills:

  • Proficiency in PySpark.
  • Expertise in Azure cloud platform.
  • Strong knowledge of Azure Data Factory (ADF).
  • Hands-on experience with Databricks.
  • Proficiency in ETL processes.
  • Strong SQL skills.

Good to Have Skills:

  • Familiarity with Change Management tools.
  • Knowledge of DevOps practices.


Skills Required
Pyspark, Adf, Databricks, Sql, Devops


Required Skill Profession

Computer Occupations



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