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Job Summary

As a Data Engineer, you will play a pivotal role in crafting and refining large-scale data processing workflows. With 4+ years of experience in Azure Data Engineering and strong expertise in Python, Scala, Spark (PySpark & Scala Spark), and Azure Cloud technologies, you will drive the development of scalable ETL pipelines for batch data ingestion and egress.

Collaborating closely with business and technical teams, you will translate requirements into effective data solutions, leveraging your expertise to design and develop efficient data engineering workflows. Additionally, you will work extensively with Azure Cloud services, including Azure Data Lake, Azure Data Factory, Azure Databricks, Azure SQL Database, and related services.

  • Design and develop scalable ETL pipelines for batch data ingestion and egress using Azure Data Factory, Databricks, and Spark.
  • Implement data transformation workflows using PySpark and Scala Spark for high-performance data processing.
  • Troubleshoot and resolve job failures by identifying root causes.
  • Optimize data processing jobs for performance and cost efficiency.

Key Responsibilities:

Key Skills and Qualifications
  • Microsoft Certified: Azure Fundamentals
  • Microsoft Certified: Azure Data Engineer Associate
  • 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
Benefits

This role offers the opportunity to join a team of professionals who share a passion for data-driven innovation, working together to create meaningful solutions that transform industries and lives.

How to Apply

To be considered for this exciting opportunity, please submit your application with a comprehensive resume and cover letter outlining your relevant experience and qualifications.