Azure Data Engineer

Infosys PontoonRichardson, TX

About The Position

We are seeking a skilled Azure Data Engineer with a strong background in Microsoft Fabric and related Azure data technologies. The ideal candidate will have extensive experience in designing and implementing data solutions within the Azure ecosystem, with a focus on Microsoft Fabric, Databricks, PySpark, and Azure Synapse. This role involves integrating Fabric capabilities to ensure efficient data flow, robust governance, and effective collaboration across teams. You will be responsible for developing and managing data platforms, optimizing data transformations, and ensuring data quality and accessibility.

Requirements

  • Minimum 7 years of relevant experience in Azure data platform.
  • Minimum 4 years of experience in designing and solutioning with Fabric, Databricks, PySpark, and Azure Synapse.
  • Hands-on experience with Microsoft Fabric components: Lakehouse, OneLake, Dataflows Gen2, Pipelines.
  • Strong understanding of Delta Lake, Parquet, and distributed data systems.
  • Strong programming skills in Python, PySpark, Scala, or Spark SQL/TSQL for data transformations.
  • Strong experience in implementation and management of Lakehouse using Databricks and Azure Tech stack (ADLS Gen2, ADF, Azure SQL).
  • Proficiency in data integration techniques, ETL processes, and data pipeline architectures.
  • Expert in writing T-SQL Synapse SQL Queries.
  • Expert in PL/SQL, Triggers, Views, Indexes.
  • Expert in database modeling and schema design (e.g., Star Schema, Snowflake Schema).
  • Experience writing PolyBase scripts for data movement.

Responsibilities

  • Design, solution, and implement data platforms using Microsoft Fabric, Databricks, PySpark, and Azure Synapse.
  • Integrate Microsoft Fabric capabilities (Lakehouse, OneLake, Dataflows Gen2, Pipelines) for seamless data flow, governance, and collaboration.
  • Implement and manage data solutions using Databricks and Azure technologies including ADLS Gen2, ADF, and Azure SQL.
  • Develop and optimize ETL processes and data pipeline architectures.
  • Write T-SQL Synapse SQL Queries, PL/SQL, Triggers, Views, and Indexes.
  • Design and extend data marts, metadata, and data models, including Star Schema and Snowflake Schema.
  • Write PolyBase scripts for data movement from Data Lake to Azure Synapse SQL Pools staging areas.
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