Azure Data Engineer

Job Description

Azure Data Engineer, you'll be responsible for designing, implementing, and managing data solutions on the Azure platform.


  • To meet data processing and analytics requirements, design and create SQL queries, stored procedures, functions, and views.
  • To make SQL code for data extraction, transformation, and loading operations as efficient as possible, collaborate closely with data engineers and data scientists.
  • To ensure effective data retrieval and processing, troubleshoot and optimize database performance.
  • Design and maintain data models in conjunction with the data engineering team to ensure consistency and integrity of the data.
  • Create and keep up with documentation for database schemas, data models, and SQL code.
  • Developing, managing, and optimizing robust and reliable data pipelines using azure native capabilities.
  • Implement ADF workflows that perform data ingestion, data integration/ETL, statistical model executions etc.
  • Creating architecture for data solutions with high performance characteristics Bringing data and analytics products to production.



  • Should have minimum of 2+ years of experience in Cloud Data Engineering
  • Experience with Azure cloud Platform (mandatory).
  • Must have Python experience as a data Engineer.
  • Provide technical expertise in the design and development using Azure Cloud
  • Should have Built pipelines on Azure Data factory and related component.
  • Programming on Databricks using both SQL and Python.
  • Should have good understanding of SQL. Well versed with SQL quires
  • Creating and configuring Database.
  • Experience in using Azure services and tools to ingest, egress, and transform data from multiple sources.
  • In-depth technical knowledge of tools like Azure Data Factory, Azure Data bricks, Azure storage, Azure Synapse etc.
  • Delivered ETL solutions including data extraction, transformation, cleansing, data integration and data management.
  • Designed ingestion layer for structured & unstructured data & implement specific data model for business & analytics use.
  • Implemented batch & near real-time data ingestion pipelines.


  • Career Development
  • Competitive Salary
  • Flexible Hours
  • Health Insurance
  • Performance based Rewards
Work Type
Full-time (WFO)
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