Hudson IT and Manpower

Data Warehouse Developer, Azure

Hudson IT and Manpower

full-time

Posted on:

Origin:  • 🇺🇸 United States • Pennsylvania

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Salary

💰 $50 - $51 per hour

Job Level

Mid-LevelSenior

Tech Stack

ApacheAzureCloudETLPythonSparkSQLSSIS

About the role

  • Manage assignments, track progress, and ensure delivery against timelines.
  • Plan, organize, and prioritize work, coordinating with the EDW and other teams.
  • Participate in status, process, deliverable, and quality assurance reviews.
  • Gather business and technical requirements; perform research and make recommendations for solutions.
  • Develop and implement efficient data warehousing solutions and technical documentation.
  • Participate in solution testing, training, and knowledge transfer sessions.
  • Ensure compliance with federal and commonwealth standards and policies.
  • Serve as presentations lead for the EDW, DOH offices, and partner agencies.
  • Maintain project and process documentation on SharePoint.
  • Complete timely weekly reporting via People Fluent/VectorVMS, Daptiv, and SharePoint as required.

Requirements

  • Expertise in designing, developing, and maintaining data warehouse and ELT application infrastructure in Azure.
  • Significant hands-on experience with Azure, Azure Databricks, Delta Lake, Data Factory, Pipelines, Apache Spark, and Python.
  • Strong track record with SQL Server, Azure Synapse, T-SQL, SSIS, and related BI/data warehousing tools.
  • Proven experience producing ETL/ELT using SQL Server Integration Services and other tools.
  • Experience as an Azure DevOps CI/CD Pipeline Release Manager (including design and maintenance of robust, automated CI/CD pipelines and troubleshooting monorepo environments).
  • Proficiency with data formatting, search, retrieval, extraction, classification, quality control, cleansing, and filtering techniques.
  • Experience with data mining, modeling standards, analytics/reporting methodologies, and data engineering/API development.
  • Ability to analyze and translate business requirements into optimized data designs and solutions.
  • Advanced knowledge of relational and dimensional databases; strong understanding of data warehousing, facts, dimensions, and star schema methodologies.
  • Documentation skills for technical specifications, diagrams, flowcharts, manuals, and test plans.
  • Excellent organizational skills; ability to independently manage multiple priorities.
  • Outstanding written and verbal communication skills; able to present technical concepts to diverse audiences.
  • Team player with capacity for independent work and minimal supervision.
  • At least 5 years of directly relevant experience.
  • Bachelor’s degree in Computer Science or related field (advanced study preferred).