Data Engineer with Microsoft Fabric

1 week ago

Bengaluru Hyderabad, India Amzur Technologies Full time

Job Title: Data Engineer Microsoft Fabric

Experience: 10+ Years

Location: Remote

Timings: 2 PM 11 PM IST

Data Engineer with over 10 years of experience designing and building large-scale data platforms

across cloud and on-prem ecosystems. Proven track record of developing high-performance ETL

pipelines, optimizing data infrastructure, and enabling analytics teams through reliable, well-

structured, and secure data systems. Deep expertise in Microsoft Fabric and GCP, with hands-on

experience across data ingestion, transformation, modeling, and delivery. Comfortable working in

fast-moving environments that require ownership, adaptability, and strong collaboration with

analytics and product teams.

Core Skills

Microsoft Fabric

  • Designed and implemented pipelines and dataflows (Gen2) to orchestrate data ingestion

from multiple structured and semi-structured sources.

  • Developed notebooks using Python and Spark SQL for data wrangling, feature engineering,

and model-ready transformations.

  • Implemented CI/CD in Fabric using Azure DevOps for automated deployment of pipelines,

datasets, and reports.

  • Defined security and access control strategies in Fabric, ensuring compliance with

enterprise data governance standards.

  • Built and optimized Direct Lake models for low-latency Power BI reporting.
  • Developed advanced DAX measures and tabular models to support complex analytical

dashboards.

Google Cloud Platform (GCP)

  • Designed and optimized data warehouses using BigQuery, improving performance and

reducing query costs through partitioning and clustering.

  • Automated workflows using Cloud Functions to handle event-based data transformations

and notifications.

  • Integrated real-time streaming data through Pub/Sub, enabling near real-time analytics

pipelines.

  • Languages: Python, SQL, Spark SQL
  • Tools: Microsoft Fabric, Power BI, Azure DevOps, Git, GCP Console, Dataflow, Dataproc
  • Concepts: Data Modeling (Kimball, Data Vault), ETL/ELT, CI/CD, Data Governance, Security,

Performance Optimization

Experience Highlights

  • Led migration of on-prem ETL workflows to Microsoft Fabric, reducing maintenance effort

by 40% and improving pipeline reliability.

  • Built an end-to-end analytics solution combining BigQuery with Power BI, enabling self-

service reporting for 100+ users.

  • Designed a CI/CD pipeline in Fabric, automating dataset promotion from dev to production

with integrated testing and validation.

  • Partnered with data scientists to deliver feature stores and ML-ready datasets using Fabric

Notebooks and Spark SQL.

  • Implemented Fabric security model to support row-level access and data masking across

multiple business domains.

  • Created a unified metadata catalog and data quality monitoring framework, improving data

discoverability and trust.

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