Lead I - Data Engineering/ Data Analyst

5 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Description

Job Title

: Data Engineer – Azure Platform

Experience

: 5 to 9 years

Location

: Any UST Location (Hybrid Mode)

Employment Type

: Full-Time

Mandatory Skills

  • 5+ years of experience in Data Engineering / Analytics, with at least 2+ years working primarily on Microsoft Azure.
  • Strong expertise in SQL – writing, optimizing, and managing complex queries.
  • Hands-on experience with key Azure Data Services, including:
    • Azure Data Factory (ADF)
    • Azure SQL
    • Azure Data Lake
    • Azure Databricks
  • Experience with data visualization tools – preferably Power BI.
  • Solid understanding of:
    • Data modeling
    • Data warehousing
    • ETL processes
    • Database management and optimization.

Key Responsibilities

  • Design, build, and manage scalable data pipelines using ADF and Databricks.
  • Integrate and transform large datasets across multiple sources into Azure Data Lake and Azure SQL environments.
  • Develop and maintain Power BI dashboards and reports for business consumption.
  • Ensure high performance, reliability, and scalability of data architecture.
  • Apply best practices for ETL design, data governance, and data quality assurance.
  • Collaborate with data scientists, business analysts, and cloud engineers across projects.
  • Monitor and optimize data workflows for performance and cost-efficiency.

Nice to Have

  • Microsoft Certification (e.g., Azure Data Engineer Associate).
  • Experience with DevOps, Git, and CI/CD for data workflows.
  • Familiarity with Agile or Scrum project methodologies.
  • Knowledge of data security and compliance standards in cloud environments.

Skills

Microsoft Azure,Sql,Azure data services,Power Bi

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