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Azure Data Engineer (Consultants Must have state exp)
Company
Role
Azure Data Engineer (Consultants Must have state exp)
Location
Job type
Full-time
Posted
1 week ago
Salary
Job description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, INFT Solutions inc, is seeking the following. Apply via Dice today!
Job Title: Cloud Data Engineer
Note: (Consultants Must have state exp)
Location: Lincoln, Nebraska
Key Responsibilities
- Design and develop data pipelines and ELT processes to integrate large, diverse datasets from multiple sources.
- Build and maintain data models and structures to support enterprise reporting and analytics.
- Collaborate with cross-functional teams to deliver BI and analytics solutions that meet business needs.
- Optimize data performance by troubleshooting and resolving issues related to large-scale data querying and transformation.
- Participate in the design and documentation of data processes, including model development, validation, and implementation.
- Contribute to a positive data safety culture by adhering to data governance and security policies.
Core Competencies
- Data Structures & Modeling: Design and implement scalable data architectures for structured and unstructured data.
- Data Pipelines & ELT: Develop robust extraction, transformation, and loading processes using modern tools and frameworks.
- Performance Optimization: Monitor and enhance data performance during development and production.
Required Qualifications
- Bachelor s degree in Data Analytics, MIS, Computer Science, or a related field.
- 5+ years of experience in data engineering or data warehouse development, including dimensional modeling.
- 5+ years of experience designing and developing ETL/ELT processes using tools like SSIS, Databricks, or Python.
- We're looking for a self-motivated team member who can work independently in a fully remote Agile environment - someone who takes ownership of their work, communicates proactively, and drives progress without needing close supervision.
The ideal candidate thrives in a distributed Scrum team, managing their own deliverables and staying accountable through clear, consistent communication.
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