Senior Data Solutions Developer

2 days ago


Surat, Gujarat, India beBeeDataEngineer Full time ₹ 10,00,000 - ₹ 15,00,000
About Our Data Engineering Position

We are seeking a highly skilled and experienced Data Engineer to help us drive business growth through data-driven insights. The ideal candidate will have strong expertise in Python, Scala, Spark (PySpark & Scala Spark), and Azure Cloud technologies.

The role involves designing, developing, and maintaining scalable ETL pipelines for batch data ingestion and egress using Azure Data Factory, Databricks, and Spark. You will also implement data transformation workflows using PySpark and Scala Spark for high-performance data processing.

Our team works extensively with Azure Cloud services including Azure Data Lake, Azure Data Factory, Azure Databricks, Azure SQL Database, and related services. As a successful candidate, you will troubleshoot, debug, and resolve job failures by identifying root causes.

You will optimize data processing jobs for performance and cost efficiency. Additionally, you will collaborate with business and technical teams to gather requirements and translate them into effective data solutions.

We value candidates who can develop reusable and efficient data engineering solutions following best practices. Furthermore, maintaining detailed documentation for solutions, processes, and troubleshooting guides is crucial.

Technical Skills Required:
  • 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


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