Azure Data Engineer - Hybrid/Remote/Pune

5 - 10 years

7 - 17 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Azure Data Engineer

Remote/Pune-Hybrid

Full time Permanent

Company: Academian

Data Engineer

Key Responsibilities:

  • Design, develop, and maintain scalable

    ETL/ELT pipelines

    in Azure. 
  • Work with Azure services such as

    Azure Data Factory, Azure Data Lake, Synapse Analytics, Azure SQL, and Databricks

  • Implement and optimize

    data storage and retrieval solutions

    in the cloud. 
  • Ensure data quality, consistency, and governance through robust validation and monitoring. 
  • Develop and manage

    CI/CD pipelines

    for data workflows using tools like

    Azure DevOps

  • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions. 
  • Support and troubleshoot data issues and ensure high availability of data infrastructure. 
  • Follow best practices in data security, privacy, and compliance 
  • Develop and maintain data architectures (data lakes, data warehouses). 
  • Integrate data from a wide variety of sources (APIs, logs, third-party platforms). 
  • Monitor data workflows and troubleshoot data-related issues. 

Required Skills & Experience

  • Bachelors degree in computer science, Information Technology, or related field 
  • 5+ years of experience in data engineering or similar role 
  • Strong hands-on experience with Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Databricks. 
  • Proficiency in SQL, Python, and PySpark. 
  • Experience with data modeling, schema design, and data warehousing. 
  • Familiarity with CI/CD processes, version control (e.g., Git), and deployment in Azure DevOps. 
  • Knowledge of data governance tools and practices (e.g., Azure Purview, RBAC). 
  • Strong SQL skills and experience with relational databases 
  • Proficiency with Apache Kafka and streaming data architectures 
  • Knowledge of ETL tools and processes 
  • Familiarity with DW-BI Tools PowerBI  
  • Strong knowledge of database systems (PostgreSQL, MySQL, NoSQL). 
  • Understanding of distributed systems like Kafka or MSK 

Preferred Skills:

  • Experience of data visualization tools 
  • Experience with NoSQL databases 
  • Understanding of machine learning pipelines and workflows

Regards

Manisha Koul

mkoul@academian.com

www.linkedin.com/in/koul-manisha

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