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Azure Data Engineer Microsoft Fabric ETL West Hybrid/Remote Flexibility
Listing for:
Sure IT
Full Time, Remote/Work from Home
position
Listed on 2026-11-09
Job specializations:
-
Software Development
Data Engineering, Azure, SQL Developer
Job Description & How to Apply Below
- Ingest, warehouse, and store data at scale within the Azure cloud platform to create core data assets.
- Apply hands‑on experience with Microsoft Fabric through active project work.
- Build high‑value Data Products from Data Assets to fulfill commercial needs.
- Collaborate closely with Operations, Architecture, Delivery, Product, and Software Engineering teams to release platform increments.
- Contribute toward solution‑level architecture, design, and continuous improvement of ADF and Synapse pipelines.
- Own releases end‑to‑end from development to production following Dev Ops and CI/CD methodologies.
- Migrate Legacy databases and storage systems to modern Azure cloud lakes and data warehouses.
- Integrate AI‑driven capabilities into the coding, testing, and documentation of data engineering artifacts.
Minimum 3+ years of hands‑on experience designing and developing complex ETL/ELT pipelines in the cloud using Azure Data Factory and Azure Synapse. - Practical experience working in both Serverless and SQL pools in Synapse Analytics.
- Direct client project experience working within Microsoft Fabric.
- Strong background in creating detailed data mappings from high‑level requirements to solution‑level execution.
- Comprehensive understanding of data warehousing concepts across lakes and traditional databases, covering the full ETL lifecycle.
- Proficiency in relational databases (SQL Server, MySQL), No
SQL, writing complex queries, and developing Stored Procedures. - Hands‑on experience working with PySpark Notebooks for data ingestion and provisioning.
- Strong understanding of Agile methodologies, automation scripting, and Dev Ops/CI/CD pipelines.
- Coding experience in Python, PySpark, or similar languages.
- Experience utilizing AI‑driven automation for coding, documentation, and testing.
- Exposure to other Azure technologies such as Power BI and Power Automate.
- Experience working with non‑relational databases (CosmosDB, MongoDB) and handling unstructured data.
- Prior background working in the automotive or intelligence/data‑provider industries.
- Strong communication, problem‑solving, and collaboration skills.
- High attention to detail with the ability to meet tight deadlines.
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