Data Engineer - MS Fabric + SSIS ( 7 Years Exp )

7 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview:


Senior Data Engineer 7+ years of experience as a Microsoft Fabric Specialist


Key Responsibilities:

  • Lead the

    design, development, and implementation

    of Fabric Pipelines, SSIS Packages, Data Flows, and ETL processes.
  • Build and maintain

    Notebooks using PySpark / SQL

    for large-scale data transformation and processing.
  • Perform

    SQL Data Modeling, Query Tuning, and Performance Optimization

    for efficient data solutions.
  • Design and implement

    ETL workflows

    to move data between Microsoft Fabric, Azure, and on-premise systems.
  • Develop and manage

    Azure Data Factory (ADF) and Databricks pipelines

    for seamless data integration.
  • Apply

    Medallion Architecture principles (Bronze → Silver → Gold)

    for structured data layering and governance.
  • Implement and manage

    CI/CD pipelines in Azure DevOps

    for automated deployment and version control.
  • Oversee

    Database Design

    ensuring scalability, performance, and reliability.
  • Design, develop, and optimize

    Power BI dashboards and reports

    for business insights.
  • Ensure

    data quality, security, and compliance

    across all systems and deliverables.
  • Provide

    technical leadership, mentoring, and guidance

    to junior engineers and data teams.


Required Skills & Expertise:

  • Strong hands-on experience with

    Azure Data Factory (ADF), SSIS, Databricks, and Microsoft Fabric

    .
  • Expertise in

    PySpark, SQL, and Notebook-based data transformations

    .
  • Proficiency in

    SQL Server database development

    – queries, stored procedures, and performance tuning.
  • Proven experience in

    Power BI report/dashboard development

    (mandatory).
  • Solid understanding of

    ETL design, data modeling, and database optimization

    .
  • Familiarity with

    Medallion Architecture

    and

    Data Lakehouse principles

    .
  • Knowledge of

    CI/CD best practices and Azure DevOps pipelines

    .
  • Experience with

    Apache Airflow

    for workflow orchestration (preferred).
  • Excellent

    analytical, debugging, and problem-solving skills

    .
  • Demonstrated ability in

    team leadership, project delivery, and mentoring

    .


Preferred Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
  • Microsoft Azure or Data Engineering certification(s) preferred.


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