Sr. Data Engineer

VDart, Inc.
Frisco, United States of America
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 135K

Job location

Frisco, United States of America

Tech stack

Azure
Cloud Computing
Information Engineering
ETL
Software Design Patterns
Dimensional Modeling
Python
Machine Learning
Object-Oriented Software Development
Performance Tuning
Power BI
Software Tools
Standard Sql
Azure
Scripting (Bash/Python/Go/Ruby)
Azure
Spark
Microsoft Fabric
Data Lake
Solid Principles
Star Schema
Data Pipelines
Databricks

Job description

Have extensive experience with developing and maintaining ML Models in a GCP environment & open to a long term contract? Apply today! This Jobot Consulting Job is hosted by: Crai…

  • 1 day ago

Requirements

  • 8+ years of Data Engineering experience
  • Experience designing & building data pipelines and data lakes in a cloud environment
  • Experience with root cause analysis on data and process issues, with the ability to trace problems across systems and translate findings into action
  • Comfortable flexing into an analytical or systems analyst role when the work requires it this team supports the business, not just the pipeline
  • Experience managing stakeholder expectations across technical & business teams

Technical Skills

  • Strong SQL, including performance tuning & optimization in large-scale analytical environments (Required)
  • Familiarity with Microsoft Fabric, Databricks, and the Azure data stack, including Azure Data Lake Storage (Preferred)
  • Familiarity with dimensional modeling, star schema design, and semantic layer concepts (Preferred)
  • Familiarity with medallion architecture (bronze/silver/gold) and data lake design patterns (Preferred)
  • Familiarity with Power BI for understanding downstream analytics consumption; DAX experience a plus (Preferred)
  • Familiarity with Python, Scala, or other scripting languages used in pipeline development (Preferred)
  • Familiarity with common software design principles such as DRY, SRP, and OOP (Preferred)
  • Experience using AI tools, agents, or automation to accelerate engineering workflows (Preferred)

Key Skills: Data Engineering, Azure, ETL, Python, Spark, Databricks, ADF.

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