Data Engineer - Fabric

WorkLife Tech · Custom Software Development · IT Staffing & Staff Augmentation · Python · SQL · Power BI · ETL/ELT · 21 days ago
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Salary
≈ $18k – $48k per year (Estimated)
Location
In office (Bengaluru)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 7, 2026.

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WorkLife Tech

WorkLife Tech is an Indian software services firm providing custom software development and IT staff augmentation. Founded in 2021, it hires GCP, Fabric and Spark data engineers, data scientists and QA engineers for Bengaluru, Delhi, Noida and Gurgaon. The company is headquartered in Bengaluru, Karnataka, India.
worklifetech.in · HQ: Bengaluru, India · IT Staffing & Staff Augmentation · Custom Software Development · Est. 2021
Tech stack of WorkLife Tech
We are looking for an experienced Data Engineer who will be responsible for designing, building, and maintaining scalable data pipelines and solutions on Microsoft Fabric platforms. The ideal candidate will have solid programming skills, strong knowledge of data processing frameworks, and hands-on capability in optimizing data workflows.

Key

Responsibilities:

  • Design and implement end-to-end Microsoft Fabric solutions, including data integration, transformation, and analytics.
  • Proficiency in Microsoft Fabric’s Notebook for developing Apache Spark jobs.
  • Hands-on experience with Python, PySpark and SparkSQL/TSQL for data transformations.
  • Experience working with File Transfer Services - FTS (GoAnywhere preferred - automated and secure data movement across environments)
  • Advanced SQL skills and proficiency in data integration techniques, ETL/ELT processes, and data pipeline architectures.
  • Extensive knowledge of MS Fabric components like: Lakehouses, OneLake, Data Pipelines, Real-Time Analytics, Power BI Integration, Semantic Model.
  • Familiarity with Azure services such as Azure Synapse, Azure Data Lake, and Azure SQL.

Requirements Mandatory Skills:

  • Expertise in Microsoft Azure/Fabric data services.
  • Strong proficiency in Python and SQL.
  • Hands-on experience with PySpark for distributed data processing.

• Solid understanding of ETL/ELT development and data pipeline orchestration.

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