Azure Data Engineer
Listed on 2026-01-03
-
IT/Tech
Data Engineer, Data Analyst
We are looking for a highly skilled Senior Engineer with extensive experience in the Azure data ecosystem to join a dynamic team. The ideal candidate will have a strong background in Azure Data Lake, Data Factory, Data Bricks, Synapse, and related technologies
, along with proficiency in Python, Scala, and SQL
.
- Python, Scala, SQL
- Power BI (mandatory)
✔ 10+ years of relevant IT experience
✔ Strong hands‑on experience with Azure cloud data services
✔ Expertise in Spark clusters for processing streaming data
✔ Capable of working independently in a fast‑paced, collaborative environment
✔ Experience in building scalable, secure data pipelines and analytics solutions
✔ Strong problem‑solving and analytical skills
Compensation: $60.00 - $65.00 per hour
About UsWe’re more than Software Company with a creative side. We’re a full-service creative studio with a serious technology background. We take a holistic view of sales and marketing, building digital brands that deliver real value to our client.
As a marketing agency, our innovative digital strategies grab and hold people’s attention, and produce the communication and organizing tools needed for success. With a mix optimized to the specific goals of each client and the character of their target customer demographics, we provide true integration across media platforms and channels.
Our Vision
Inteletech Global, Inc provides consulting services to assist clients with their ongoing demand for changing IT environments. The early 2000s were an exciting time for IT. Digital technology was transforming our lives, and with each innovation, it became clear that digital was the future. We use our Global Delivery Model for the success of every engagement. Improve effectiveness and efficiency of IT application environments by adopting re‑usable software platforms.
Our onsite teams work directly with our clients to understand and analyze the current‑state of problems and design specifically tailored conceptual solutions.
Data brick services (like processing streaming data using Spark clusters), usage of Blob containers, ESB, Event Grid, Azure SQL server, Cosmos DB, Azure functions.
Analytics (like Power BI) is a mandatory requirement.
I was referred to this position by a current employee
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