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Azure Data Engineer - ETL/Data Factory

36 years

0 Lacs

Gurugram Haryana India

Posted:1 month ago| Platform: Linkedin logo

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Skills Required

azure data etl support analytics reporting databricks database querying sql visualization power dax tableau devops github documentation governance python design reports security engineering certifications communication

Work Mode

On-site

Job Type

Full Time

Job Description

Location :

Gurugram

Workmode :

WFO

Notice Period :

Immediate up to 45 daysWe are seeking a skilled Data Engineer to develop and support cloud-based data platforms that enable advanced analytics, data science, and reporting. You will work on integrating multiple data sources, optimizing data models, and building robust ETL pipelines on Azure.

Key Skills Required

  • ETL/ELT : Azure Data Factory, Databricks, Data Lake
  • Database & Querying : Azure SQL, strong SQL skills
  • Data Modeling : Dimensional modeling, data warehouse concepts
  • Visualization : Power BI (DAX preferred), Tableau (optional)
  • DevOps : CI/CD pipelines (Azure DevOps / GitHub Actions)
  • Documentation & Governance : Azure Purview
  • Others : Python or R (nice to have), Lakehouse architectures, metadata-driven pipelines

Key Responsibilities

  • Design, build, and maintain cloud data pipelines and models using Azure
  • Integrate on-prem and cloud-based data sources
  • Build and optimize data models for performance and scalability
  • Use Azure SQL, Data Factory, Databricks, and Data Lake for ETL workflows
  • Develop dashboards and reports in Power BI
  • Implement CI/CD pipelines using Azure DevOps or GitHub Actions
  • Create and maintain data dictionaries and metadata using Azure Purview
  • Collaborate with data scientists, analysts, and business teams
  • Ensure best practices in security, performance, and data governance

Qualifications

  • Bachelors or Masters in Data, Computer Science, or related fields
  • 36 years of experience in data engineering roles
  • Azure certifications (preferred, not mandatory)
  • Prior experience in mining or large-scale operations is a bonus

Soft Skills

  • Strong problem-solving and analytical mindset
  • Good communication skills to engage with both technical and non-technical teams
  • Self-driven and eager to learn new technologies
(ref:hirist.tech)

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