Concero
We are 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 data infrastructure, supporting existing systems, and driving innovation through ML and AI solutions!
Key Responsibilities
Profile source system data and design data warehouse and lake schemas Transform raw data into usable format based on analytics, reporting and integration requirements. Design, implement, and support ETL, ELT and integration pipelines Optimize data pipelines for performance, scalability and efficiency. Implement data quality checks and validations within data pipelines to ensure accuracy, consistency and completeness of data. Collaborate with cross-functional teams to promote AI solutions in the enterprise. Apply best practices in solution development, quality control and security in implementing pipelines. Participate in code and design review to ensure alignment to standards and best practices. Research, analyze, recommend, and select technical approaches for solving challenging and complex development and integration problems. Qualifications
5+ years of work experience in data management disciplines, including data modeling, integration and development of ETL/ELT pipelines. 5+ years of data solution delivery experience, preferably in the Microsoft Azure platforms and tools (Azure Data Factory, Azure SQL, Azure Data Lake Gen2, Azure DevOps). Experience in Microsoft Fabric would be a plus. Experience with T-SQL (queries, stored procedures, and DDL) Experience with Power Query Solid understanding of data warehouse and data lake concepts and design (including star schemas) Excellent analytical, conceptual, and problem-solving abilities with aptitude for acquiring new technical skills Highly motivated team player with strong interpersonal skills Constant learner with a passion for continuous growth and improvement Python proficiency for data management, ML and AI development. Employment Details
Location: St. Louis, MO Seniority Level: Mid-Senior Level Employment Type: Contract
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Profile source system data and design data warehouse and lake schemas Transform raw data into usable format based on analytics, reporting and integration requirements. Design, implement, and support ETL, ELT and integration pipelines Optimize data pipelines for performance, scalability and efficiency. Implement data quality checks and validations within data pipelines to ensure accuracy, consistency and completeness of data. Collaborate with cross-functional teams to promote AI solutions in the enterprise. Apply best practices in solution development, quality control and security in implementing pipelines. Participate in code and design review to ensure alignment to standards and best practices. Research, analyze, recommend, and select technical approaches for solving challenging and complex development and integration problems. Qualifications
5+ years of work experience in data management disciplines, including data modeling, integration and development of ETL/ELT pipelines. 5+ years of data solution delivery experience, preferably in the Microsoft Azure platforms and tools (Azure Data Factory, Azure SQL, Azure Data Lake Gen2, Azure DevOps). Experience in Microsoft Fabric would be a plus. Experience with T-SQL (queries, stored procedures, and DDL) Experience with Power Query Solid understanding of data warehouse and data lake concepts and design (including star schemas) Excellent analytical, conceptual, and problem-solving abilities with aptitude for acquiring new technical skills Highly motivated team player with strong interpersonal skills Constant learner with a passion for continuous growth and improvement Python proficiency for data management, ML and AI development. Employment Details
Location: St. Louis, MO Seniority Level: Mid-Senior Level Employment Type: Contract
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