S

Data Engineer (Microsoft Fabric & Databricks)

Saxon Global • India
Remote
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Seeking a Data Engineer to design, build, and maintain end-to-end data solutions on Microsoft Fabric and Databricks. Responsibilities include scalable data ingestion, transformation, and loading using Fabric Pipelines and PySpark. Requires expertise in data modeling, semantic models for Power BI, and optimizing Lakehouse/Data Warehouse performance.

Key Highlights
Design and build data solutions on Microsoft Fabric and Databricks.
Implement scalable ETL/ELT processes using Fabric Pipelines and PySpark.
Develop and optimize data models, semantic models, and Lakehouse/Data Warehouse performance.
Key Responsibilities
Design, build, and maintain end-to-end data solutions on Microsoft Fabric, Databricks, including Pipelines, Notebooks, Lakehouse, Data Warehouse, and Semantic Models.
Implement scalable data ingestion, transformation, and loading (ETL/ELT) using Fabric Pipelines and PySpark.
Develop robust data models and schemas optimized for analytics, reporting, and AI-driven consumption.
Create and maintain semantic models to support Power BI and enterprise BI solutions.
Engineer high-performance data solutions that meet requirements for throughput, scalability, quality, and security.
Author efficient PySpark and SQL code for large-scale data transformation, data quality management, and business rule processing.
Build reusable framework components for metadata-driven pipelines and automation.
Optimize Lakehouse and Data Warehouse performance, including partitioning, indexing, Delta optimization, and compute tuning.
Develop and maintain stored procedures and advanced SQL logic for operational workloads.
Technical Skills Required
Microsoft Fabric Databricks PySpark
Benefits & Perks
100% Remote

Job Description

Looking for Data Engineer (Fabric and Databricks) with one of our esteemed clients.

If you’re interested in exploring this opportunity, please feel free to share your updated resume at [email protected] or [email protected]

Additionally, if you know someone in your network who might be a good fit and is currently open to new opportunities, I would greatly appreciate your referral.

Looking forward to hearing from you!

Job Title: Data Engineer (Fabric and Databricks)

Location : 100% Remote

Job Description:

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