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Fabric Data Engineer

Fabric Data Engineer

Bridgenext

5 years

0 Lacs

pune maharashtra india

Posted:1 day ago| Platform:

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Skills Required

data engineering analytics support design etl storage processing sql git integration deployment security governance compliance resolve pipeline tuning architecture scalability development pyspark dataflow power troubleshooting communication collaboration certifications devops

Work Mode

Remote

Job Type

Full Time

Job Description

Job ID:

Fab-ETP-Pun-1164

Location:

Pune,Remote

Job Summary

We are looking for an experienced and proactive

Fabric Data Engineer

with 3–5 years of experience in data engineering and cloud analytics, with a strong focus on

Microsoft Fabric

. This role involves designing, building, and optimizing scalable data pipelines and architectures using Fabric’s integrated components (Data Factory, Synapse, OneLake, etc.) to support enterprise analytics and business intelligence.

Key Responsibilities

Design and develop end-to-end data solutions using Microsoft Fabric, including Data Pipelines, Lakehouse, Notebooks, and Dataflows.
Build and maintain efficient ETL/ELT pipelines using Data Factory in Fabric.
Integrate data from diverse sources into OneLake and organize data into structured, queryable formats (Delta Lake, Parquet, etc.).
Collaborate with data analysts, data scientists, and business stakeholders to deliver high-quality, reliable data models for analytics.
Optimize data performance and storage for large-scale data processing using Synapse Real-Time Analytics and SQL Endpoints.
Implement CI/CD pipelines for Fabric projects using Git integration and deployment pipelines.
Ensure data quality, security, governance, and compliance across the data lifecycle.
Troubleshoot and resolve data pipeline issues, monitor performance, and apply tuning techniques.
Document data architecture, workflows, and standards to support scalability and maintainability.

Required Skills And Qualifications

3–5 years of experience in data engineering or data platform development roles.
Hands-on experience with Microsoft Fabric components: Data Factory, Lakehouse, Notebooks, Pipelines, OneLake, and Synapse.
Strong proficiency in SQL, PySpark, and Dataflow Gen2.
Experience with Delta Lake formats and medallion architecture (Bronze, Silver, Gold layers).
Familiarity with Power BI integration for end-to-end analytics.
Solid understanding of data modeling, ETL/ELT best practices, and data warehousing.
Experience working in cloud environments (preferably Microsoft Azure).
Strong analytical, troubleshooting, and problem-solving skills.
Effective communication and collaboration skills in cross-functional teams.

Preferred Qualifications

Microsoft certifications (e.g., DP-600: Microsoft Fabric Analytics Engineer Associate).
Experience with Git-based version control, DevOps, or CI/CD practices for data workflows.
Knowledge of data governance, Purview, or Microsoft Information Protection (MIP).

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