Data Engineer (Level 3 or Level 4)
Lead the design and development of products for fast-paced special projects. Help shape the evolving data platform within CIDO by building reusable components and sharing ideas on architecture and best practices. Partner with business stakeholders, analysts, and data scientists to translate strategic questions into data products and pipelines. Design, code, test, and deploy production-grade data pipelines and models using Python/PySpark and SQL within Databricks. Translate business requests into design specifications and requirements to build data engineering models, structures, and machine learning models that help scale our analytics. Must have, at minimum, a Bachelor's degree in Computer Science, Software Engineering, or a related technical field. Must have a minimum of 5 years of hands-on experience in data engineering, data science, or software engineering. Must have experience with Python and SQL. Must have experience with AWS, containerization, and Git. Understand the importance of software engineering best practices in data development. Proven ability to tackle ambiguous, cross‑domain business problems and turn them into concrete data solutions. Excellent communication skills, with a proven ability to translate technical concepts and data requirements for business partners. Strong experience in deploying production software engineering products or data engineering products. Experience in technical business consulting, ability to take customer requests from ambiguity to deployable product. Knowledge of domain-driven data ownership concepts
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