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1 Day ago

Azure Data Engineer

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Ahmedabad, Gujarat, India
Information Technology
Full-Time
Strategic HR Solutions

Overview

Location : Bangalore [Hybrid]

Experience Level : 5+ Years Relevant Experience

Associate Manager : 6+ Years Relevant Experience

Manager : 7+ Years Relevant Experience

Notice Period : Immediate to 30 Days (Preferred)

Job Summary

We are seeking a skilled Azure Data Engineer to join our growing data team. The ideal candidate will have hands-on experience with Azure Data Factory, Databricks, PySpark, and SQL, and will contribute to designing and implementing scalable, secure, and high-performance data solutions on Microsoft Azure.

Key Responsibilities

  • Design, develop, and manage data pipelines using Azure Data Factory (ADF) and Databricks.
  • Implement and optimize data transformation using PySpark within Azure Databricks.
  • Build and manage data integration and orchestration workflows across diverse sources.
  • Work with Azure Synapse Analytics for data warehousing and analytics solutions.
  • Write and optimize complex SQL queries for data extraction, transformation, and loading (ETL).
  • Collaborate with DevOps teams to automate deployment using CI/CD pipelines.
  • (Good to Have) Integrate real-time streaming data using Event Hub or similar technologies.
  • Follow best practices for data governance, security, and compliance.
  • Collaborate with stakeholders to gather requirements and deliver insights.

Required Skills

Strong hands-on experience with :

  • Azure Data Factory (ADF)
  • Azure Databricks
  • PySpark
  • SQL
  • Azure Synapse Analytics
  • CI/CD and DevOps pipelines

Good To Have

  • Experience with Event Hub or other real-time data streaming platforms.

Certifications (Preferred)

  • Microsoft Certified : Azure Data Engineer Associate (DP-203)
  • Databricks Certified Associate Developer

Preferred Attributes

  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work independently and manage time effectively in a remote/hybrid setup.
  • Experience working in Agile/Scrum environments.

Required Skillsets

Azure, SQL & PySpark

Must Have

  • Must have experience designing and building data pipelines using Azure Data Factory.
  • Must have experience implementing data transformation using PySpark in Azure Databricks.
  • Must have experience writing and optimizing complex SQL queries for ETL processes.
  • Must have experience working with Azure Synapse Analytics for data warehousing solutions.
  • Must have experience integrating CI/CD and DevOps practices in data engineering workflows.

(ref:hirist.tech)
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