Senior ETL & Power Bi Engineer (Part-Time)

7 hours, 42 minutes ago
Part-time
Senior
Data Science and Analytics

Sedona Digital

Sedona Digital describes itself as an award-winning transformation partner specializing in Software/AI, Data/AI, Cloud Security, and Business Change. Its site also describes it as a process-led, AI, data, security and software business.

IT Services and IT Consulting
Founded 2008

Description

  • Design, develop, and maintain ETL/ELT pipelines in Microsoft Azure using Azure Data Factory and related tools.
  • Build and optimize data models and transformations in Fabric and Graph environments.
  • Develop data integration solutions for structured and unstructured data from multiple sources.
  • Own projects end to end, from requirements gathering through deployment.
  • Design, develop, and optimize Power BI datasets, semantic models, and reports.
  • Monitor, troubleshoot, and optimize data pipelines to improve performance and data integrity.
  • Apply best practices in data architecture, security, documentation, and governance across Azure and Power BI.
  • Collaborate with cross-functional teams to translate business needs into scalable data and reporting solutions.
  • Use Azure DevOps for version control, CI/CD automation, release management, and workflow orchestration.
  • Maintain documentation for data processes, reporting logic, refresh schedules, and end-user guidance.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in ETL development, data integration, and data pipeline management.
  • Expertise in Microsoft Azure environments, including Azure Data Factory (ADF), Azure Synapse, SQL Server, and Fabric.
  • Strong understanding of data pipeline principles, including batch and real-time processing.
  • Experience with Graph databases and their application in enterprise solutions.
  • Ability to work independently, manage multiple projects, and own end-to-end ETL processes.
  • Proficiency in SQL for data transformation and automation.
  • Experience working with REST APIs for data extraction and integration.
  • Experience designing and optimizing Power BI datasets, semantic models, and reports is a strong asset.
  • Microsoft Azure data-focused certification such as DP-700 or DP-600 is strongly preferred.
  • Excellent problem-solving skills, analytical mindset, and attention to detail.
  • Strong written and spoken English communication skills.
  • Working knowledge of APIs and how they interact with data pipelines is a nice to have.
  • Experience with data cleansing techniques to ensure high-quality, accurate datasets is a nice to have.

Interested in this position?

Apply directly on the company website

Apply Now

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