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Job Type

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Job Description

Job Title

Location

Experience


Role Overview

We’re looking for an experienced Data Engineer to develop and manage scalable data workflows using Azure services. You’ll integrate data from systems like Teradata, SAP, and Salesforce to support analytics and real-time solutions. The role involves working closely with teams to build efficient, secure, and high-performance data solutions.


Key Responsibilities

  • Develop and manage Azure Data Factory (ADF) pipelines for data ingestion into the Data Lake.
  • Build and optimize Databricks notebooks for data curation and real-time event streaming.
  • Optimize workflows for performance, cost-efficiency, and code tuning (PySpark/SQL).
  • Manage Unity Catalog objects for access control and data organization.
  • Ensure compliance with data governance and security standards.
  • Collaborate on DevOps deployments using Azure DevOps and support migration efforts from Teradata to Azure Databricks.

Required Skills

  • Cloud & Data Engineering

    : Azure Data Factory, Azure Databricks, Event Hubs, Kafka
  • Data Sources

    : Teradata, Sybase, SAP, Salesforce, Snowflake
  • Languages

    : PySpark, SQL, Python
  • DevOps

    : Azure DevOps, ARM templates
  • Data Governance

    : Unity Catalog, AAD integration
  • Additional Notes

    • Immediate Joiners

      or those who can join within

      15 days

      are preferred.
    • Interested candidates can

      apply now

      or share their CVs at

      cv.hr@evokehr.com

      .

    If you're passionate about data engineering and excited to work with cutting-edge tools, don’t miss this opportunity!

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