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- Design, build & maintain scalable data pipelines in Azure to ensure their compliance with up-time, security, and privacy
- Actively contribute to both data & application governance initiatives by designing and implementing policies, procedures, and best practices
- Implement API-based integrations to support continuing increases in data volume and complexity
- Collaborate with report developers/analysts and business teams to improve data models that feed BI tools and increase data accessibility
- Assist in the design of processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
- Troubleshoot data pipeline related issues and oversee their resolution
- Collaborate with all business units and development teams to develop strategy for long term data platform architecture
- Identify and integrate external data sources from various source formats
- Assist and oversee other projects as assigned
- Mastery in converting raw data into valuable datasets
- Excellent prioritization skills
- Excellent problem solving and troubleshooting skills
- Process oriented with great documentation skills
- Excellent oral and written communication skills with a keen sense of customer service
- BS or MS degree in Computer Science or a related field
- Microsoft DP-203 certification preferred
- 5+ years of database architecture and dimensional data modeling\
- 2+ years assisting in Master Data Management efforts, including metadata management
- 5+ years of Python, C#, and/or Java development experience
- 5+ years of SQL experience (No-SQL experience is a plus)
- 3+ years working in an Agile development environment pairing DevOps with CI/CD pipelines
- 3+ years with data processing systems in Azure (Data Lake storage, DataBricks, Data Factory, Event Hubs, etc.)
- Exposure to AWS and LAMP stack/architecture
- Experience working within a PMO
- Experience in automotive repair and/or insurance industries