Data Engineer (MS Fabric)

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OnPoint Insights

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Git Databricks pySpark Microsoft T SQL CI Fabric Data Extraction Snowflake ETL

Job Description

Job Title: Data Engineer (Microsoft Fabric)

Experience: 2โ€“4 Years

Job Summary

We are looking for a Data Engineer with 2โ€“4 years of experience, including at least 1 year of hands-on experience with Microsoft Fabric. The ideal candidate should have strong expertise in PySpark, SQL, and Python, with the ability to build and optimize scalable data pipelines.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Microsoft Fabric
  • Work with large datasets using PySpark for data processing and transformation
  • Write optimized and efficient SQL queries for data extraction and analysis
  • Develop data workflows and automation using Python
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions
  • Ensure data quality, integrity, and performance across pipelines

Required Skills

  • Hands-on experience with Microsoft Fabric (minimum 1 year)
  • Strong proficiency in PySpark, SQL, and Python
  • Experience in building data pipelines and working with large datasets
  • Good understanding of data engineering concepts and best practices

Good to Have Skills

  • Data Modeling (Star/Snowflake schema)
  • Experience with Databricks
  • Exposure to CI/CD pipelines and DevOps practices
  • Familiarity with DBT and Git
  • Understanding of modern data architectures (Lakehouse, Medallion)


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