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Azure Data Engineer

Ztek Consulting
Trenton, NJ, United States
11 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Information Engineering Extract Transform Load (ETL) Data Migration Data Warehousing Information Lifecycle Management Python (Programming Language) Key Management NoSQL Power BI SQL Databases Azure Data Factory Microsoft Fabric
+2 more
Data Analytics Data Pipelines

Requirements

  • Strong experience with ETL frameworks and tools on cloud platforms, especially Azure Data Factory, along with SQL and/or Python.
  • Solid understanding of the data lifecycle, data engineering concepts, and data warehouse development.
  • Hands-on experience building data pipelines, complex transformations, and working with relational and NoSQL databases.
  • Proficiency with tools for data analysis and reporting such as SQL IDEs, Power BI, or similar.
  • Experience implementing surrogate keys using key management techniques for data warehouse solutions.
  • Strong knowledge of dimension and fact table design (data modeling).
  • Experience identifying KPIs and supporting data-driven decision-making.
  • Ability to develop and maintain applications supporting BI, data warehouse, and reporting systems.
  • Experience in data migration across warehouse and reporting systems.
  • Exposure to or certification in Microsoft Fabric.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

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

Moments

Explore playlists

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

1:46 min

Traditional data architecture before Microsoft Fabric

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

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

Videos

See all
Leveraging Real time data in FSIs thumbnail
41:51
LIVE • almost 3 years ago

Leveraging Real time data in FSIs

Tim Faulkes

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • about 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG thumbnail
7:02
Europe 2026 Virtual • 3 months ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

Piotr Menclewicz

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • 3 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents thumbnail
26:58
World Congress 2025 • about 1 year ago

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

Dr. Alexander Wachtel, Hanna Schwab

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

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