Data Engineer

Experience Required: 4 to 6Years Mandate

Mode of work: Remote

Skills Required: Azure Data Factory, SQL, Databricks, Python/Scala

Notice Period : Immediate Joiners/ Permanent(Can join within July 4th 2025 )

  • Design, develop, and implement scalable and reliable data solutions on the Azure platform.
  • Collaborate with cross-functional teams to gather and analyze data requirements.
  • Design and implement data ingestion pipelines to collect data from various sources, ensuring data integrity and reliability.
  • Perform data integration and transformation activities, ensuring data quality and consistency.
  • Implement data storage and retrieval mechanisms, utilizing Azure services such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
  • Monitor data pipelines and troubleshoot issues to ensure smooth data flow and availability.
  • Implement data quality measures and data governance practices to ensure data accuracy, consistency, and privacy.
  • Collaborate with data scientists and analysts to support their data needs and enable data-driven insights.

Requirements

  • Bachelor’s degree in computer science, Engineering, or a related field.
  • 4+ years of experience with Big Data technologies like Azure
  • Strong knowledge and experience with Azure cloud platform, Azure Data Factory, SQL, Databricks, Python/Scala.
  • Experience in SQL and experience with SQL-based database systems.
  • Hands-on experience with Azure data services, such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
  • Experience with data integration and ETL (Extract, Transform, Load) processes.
  • Strong analytical and problem-solving skills.
  • Good understanding of data engineering principles and best practices.
  • Experience with programming languages such as Python or Scala.
  • Relevant certifications in Azure data services or data engineering are a plus.