Data Engineer

5 hours ago

Gurgaon, Haryana, India EXL Full time ₹ 8,00,000 - ₹ 20,00,000 per year

Key Responsibilities:

  • Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
  • Build and maintain data integration workflows from various data sources to Snowflake.
  • Write efficient and optimized SQL queries for data extraction and transformation.
  • Work with stakeholders to understand business requirements and translate them into technical solutions.
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
  • Maintain and enforce data quality, governance, and documentation standards.
  • Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.

Must-Have Skills:

  • Strong experience with Azure Cloud Platform services.
  • Proven expertise in Azure Data Factory (ADF) for orchestrating and automating data pipelines.
  • Proficiency in SQL for data analysis and transformation.
  • Hands-on experience with Snowflake and SnowSQL for data warehousing.
  • Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse.
  • Experience working in cloud-based data environments with large-scale datasets.

Good-to-Have Skills:

  • Experience with DataStage, Netezza, Azure Data Lake, Azure Synapse, or Azure Functions.
  • Familiarity with Python or PySpark for custom data transformations.
  • Understanding of CI/CD pipelines and DevOps for data workflows.
  • Exposure to data governance, metadata management, or data catalog tools.
  • Knowledge of business intelligence tools (e.g., Power BI, Tableau) is a plus.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 6+ years of experience in data engineering roles using Azure and Snowflake.
  • Strong problem-solving, communication, and collaboration skills.

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