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Data Engineer

1 month ago

Auburn Hills, Michigan, United States TRG Full time

Job Summary

Data MLOps engineer will be a key member of the Enterprise Data and Advanced Analytics team, working closely with cross-functional teams to leverage data and advanced analytical techniques to deliver data-driven solutions within the organization.

This role entails supporting data ingestion processes and problem-solving in various domains, including business process optimization and conducting research and analysis on new technologies and business methodologies.

Key Responsibilities

  • Design and develop data pipelines using data integration tools like Informatica and Python.
  • Orchestrate complex data pipelines to ensure seamless data flow from various sources.
  • Leverage Google Cloud Dataflow, Cloud Functions, and other cloud technologies to build scalable and resilient data ingestion and processing pipelines.
  • Implement robust CI/CD workflows using GitHub Actions and Argo CD to automate pipeline deployments and ensure consistency.
  • Monitor and manage production solutions, optimize and fine-tune models for performance, accuracy, and scalability.
  • Document best practices and quality standards to be adhered to during development of data science solutions.
  • Conduct review and provide feedback on data science work applications.
  • Manage and analyze data from diverse sources, including relational databases, big data platforms, and streaming data.
  • Employ powerful compute engines to analyze massive datasets and derive valuable insights.
  • Deliver actionable insights by collaborating with business stakeholders, translating business problems into analytical frameworks, and identifying opportunities to address complex problems.
  • Build APIs and user-friendly interfaces to present data results and empower informed decision-making.
  • Drive machine learning innovation by exploring and implementing Vertex AI models to generate quick insights and support business requirements.
  • Stay at the forefront of emerging data technologies and best practices, contributing to the ongoing improvement of data infrastructure and processes.

Requirements

  • Bachelor's degree in Computer Science or related field.
  • Proficiency in Python and Informatica.
  • Experience with Google Cloud Dataflow.
  • Ability to extract data from various data sources, including relational databases and big data platforms.
  • Knowledge of Git and Argo CD.