Data Engineer in Detroit, MI Onsite
About You:
You are a problem solver with a passion for addressing complex data challenges and improving data quality at the enterprise level.
You bring deep expertise in data engineering principles and have a track record of architecting scalable, high-performance data solutions.
You excel in designing and implementing robust data management processes and frameworks.
You are proficient in deploying advanced data quality protocols using SQL, ETL tools, and cloud-native technologies.
You mentor junior engineers and contribute to the evolution of data engineering best practices across the organization.
What You ll Do:
Lead the design and development of scalable data pipelines and integrations across ERP, CRM, and data warehouse platforms.
Collaborate closely with data scientists, analysts, and business partners to align data engineering efforts with strategic data initiatives.
Architect and implement data engineering applications that support enterprise data domains with high reliability and performance.
Define and enforce data cleansing, transformation, and standardization protocols to ensure consistent data quality across systems.
Solve complex data issues and guide data stewards and business users in resolution strategies.
Evaluate and recommend new tools, frameworks, and technologies to enhance the data engineering ecosystem.
What You ll Need:
Bachelor s or Master s degree in Computer Science, Information Systems, or a related field (or equivalent experience).
9+ years of hands-on experience in data engineering, including leadership in development or implementation projects.
Advanced SQL skills for data modeling, analysis, and optimization.
Expertise with ETL/ELT tools such as Databricks, Informatica, Talend, SSIS, or Azure Data Factory.
Strong understanding of APIs, integration patterns, and cloud data platforms (e.g., Azure, AWS, Google Cloud Platform).
Experience mentoring team members and contributing to technical strategy.
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