Azure Data Engineer

5 years

0 Lacs

Posted:9 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Position – Senior Azure Data Engineer

Location:

Employment Type:

Notice Period - Immediate Joiners Only


About the Role

Senior Data Engineer

Key Responsibilities

  • Design, build, test, debug, and deploy scalable

    data pipelines/ETL logic

    using

    Azure Data Factory (ADF), Databricks, and Azure DevOps

    .
  • Manage Azure DevOps repositories: perform push/pull requests, create/review pull requests, and configure

    CI/CD pipelines

    .
  • Troubleshoot build/release issues and resolve data pipeline errors, including managing dependencies and configuring libraries.
  • Develop, maintain, and optimize

    data structures in a Data Lake

    (data ingestion, data preparation, resource development, and quality assurance).
  • Conduct

    data integration

    across on-premises, cloud, and hybrid infrastructure in alignment with architectural decisions.
  • Define and implement

    data models and architecture

    to support applications.
  • Ensure adherence to

    security and privacy guidelines

    as per client and organizational standards.
  • Maintain coding and development best practices, ensuring high-quality deliverables.

Requirements

  • Education:

    Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
  • Experience:

    Minimum of

    5+ years of professional experience

    in data engineering or equivalent work experience.
  • Strong expertise in:
  • Azure Data Factory (ADF)

  • Azure DevOps (ADO)

  • Databricks

  • Python

  • Proven experience with

    ETL, CI/CD, Data Lakes, Data Modeling, and Data Integration

    .
  • Strong debugging and troubleshooting skills in

    data pipelines and builds/releases

    .
  • Excellent

    English communication, presentation, and interpersonal skills

    to effectively collaborate with global stakeholders.
  • Certifications in Azure, Databricks, or related technologies will be considered an added advantage.

Skills & Keywords

Azure Data Factory | Azure DevOps | Databricks | Python | Data Pipelines | ETL | CI/CD | Data Lake | Data Modeling | Data Integration | Debugging | Troubleshooting | Security | Privacy | Coding Standards

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