Data Engineer
McCarthy is seeking a full-time Data Engineer located in St. Louis, MO who, as part of the Enterprise Solutions and Analytics team, will play a crucial part in shaping our data infrastructure, supporting our existing systems, and driving innovation through ML and AI solutions.
As we expand our capabilities, your expertise will be pivotal in delivering end-to-end data pipelines and repositories.Key Responsibilities
- Profile source system data and design data warehouse and lake schemasDesign, implement, and support ETL and ELT pipelines
- Create and run testing protocols for data solutions
- Collaborate with cross-functional teams to identify ML and AI opportunities within our data ecosystem.Design, implement, and optimize ML models and algorithms.
- Deploy ML solutions into production, ensuring scalability and reliability.Assure development work accords with best practices including security,quality control, and version control
- Participate in code and design review to ensure alignment to standards and best practicesResearch, analyze, recommend, and select technical approaches for solving challenging and complex development and integration problems
Skills & Qualifications
- 3+ years of data solution delivery experience (some experience in the azure data environment is preferred)Experience with T-SQL (queries, stored procedures, and DDL)
- Experience querying API endpoints Experience with Power Query
- Solid understanding of data warehouse and data lake concepts and design (including star schemas)Experience with Agile / Scrum methodologypreferred
- Excellent analytical, conceptual, and problem-solving abilities with aptitude for acquiring new technical skills
- Entrepreneurial attitude with a passion to deliver value for the organization Highly motivated team player with strong interpersonal skills
- Constant learner with a passion for continuous growth and improvementPython proficiency for ML and AI development.
Nice to Haves
- Experience on the Microsoft Azure platform including Azure Data Factory (pipelines and mapping & wrangling data flows), Azure SQL, Azure Data Lake Gen2, Azure DevOpsExperience developing and promoting work through devops / dataops pipelines and utilizing source controlExperience building data pipelines to ingestunstructured and streaming dataExperience preparing data for Data Science and Machine Learning use cases Experience with master data managementExperience designing reports using Power BI, Power Query, and DAX
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