Lead Data Integration Specialist

6 days ago

Thāne, Maharashtra, India beBeeDataEngineer Full time ₹ 18,00,000 - ₹ 24,00,000
Senior ETL Developer

We are seeking an experienced Senior ETL Developer with a proven track record in designing and implementing large-scale data pipelines using Azure Cloud technologies.

Key Responsibilities:

  • Design and Develop Scalable ETL Pipelines: Create efficient batch data ingestion and egress using Azure Data Factory, Databricks, and Spark. Ensure that pipelines are optimized for performance and scalability.
  • Implement Data Transformation Workflows: Utilize PySpark and Scala Spark for high-performance data processing. Develop reusable solutions that adhere to best practices.
  • Work with Azure Cloud Services: Leverage Azure Data Lake, Azure Data Factory, Azure Databricks, Azure SQL Database, and related services to design and implement data engineering solutions.
  • Troubleshoot and Debug Jobs: Identify root causes of job failures and resolve issues efficiently. Develop effective troubleshooting guides and processes.
  • Optimize Data Processing Jobs: Improve the performance and cost efficiency of data processing jobs. Collaborate with cross-functional teams to identify opportunities for optimization.
  • Collaborate with Teams: Gather requirements from stakeholders and translate them into effective data solutions. Foster strong relationships with team members and external partners.
  • Maintain Documentation: Record solutions, processes, and troubleshooting guides in a centralized repository. Ensure that documentation is accurate, up-to-date, and easily accessible.

Technical Skills Required:

  • Microsoft Certified: Azure Fundamentals (preferred)
  • Microsoft Certified: Azure Data Engineer Associate (preferred)
  • Strong programming skills in Python and Scala
  • Hands-on experience with Spark (PySpark & Scala Spark)
  • Proficiency in SQL for data querying and transformation
  • Good knowledge of Azure Cloud, Azure Data Factory (ADF), and Azure Databricks
  • Strong understanding of ETL pipeline design and implementation
  • Proven ability to troubleshoot jobs and analyze root causes effectively

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