Microsoft Fabric Data Engineer

Ascii Group, LLC
Richardson, TX, United States
5 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$133,120.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Computer Programming Data Integration Extract Transform Load (ETL) Data Mart Data Transformation Distributed Data Store Apache Hive Python (Programming Language) SQL Azure Azure Data Lake Scala (Programming Language)
+13 more
PL-SQL SQL Databases Data Streaming Transact-SQL Parquet Azure Data Factory Microsoft Fabric Data Lakes Pyspark Star Schema Azure Synapse Analytics Data Pipelines Databricks

Requirements

  • · Minimum 7+ year of relevant experience in Azure data platform and 4+ years in designing, solutioning in Fabric, Databricks, PySpark and Azure Synapse
  • · Hands-on experience with Microsoft Fabric (Lakehouse, OneLake, Dataflows Gen2, Pipelines).
  • · Integrate Fabric capabilities for seamless data flow, governance, and collaboration across teams
  • · Strong understanding of Delta Lake, Parquet, and distributed data systems.
  • · Strong programming skills in Python, PySpark, Scala or Spark SQL/TSQL for data transformations.
  • · Strong experience in implementation and management of lake House using Databricks and Azure
  • · Tech stack (ADLS Gen2, ADF, Azure SQL) .
  • · Proficiency in data integration techniques, ETL processes and data pipeline architectures.
  • · Expert in writing T-SQL Synapse SQL Queries
  • · Expert in PL/SQL, Triggers Views, Indexes
  • · Expert in DB Model Schema like Star Schema, Snowflake Schema etc.
  • · Writing Poly base scripts for movement of Data from Data Lake to the staging area of the Azure Synapse (SQL Pools)
  • · Perform the design and extension of data marts, meta data, and data models.

Must Have Skills:

  • · Microsoft Fabric
  • · Azure Synapse
  • · Databricks / PySpark
  • · Azure Data Factory / ADLS Gen2
  • · T-SQL / SQL

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:10 min

Introduction to Microsoft Fabric and data agents

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:50 min

How Parquet metadata enables efficient data reading

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

2:03 min

Introduction to open table formats built on Parquet

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

2:50 min

Exploring the Microsoft Fabric workspace foundation

Alexandra Mihai Alexandra Mihai +2 · Europe 2026 Virtual

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