Data Engineer , AWS, Python, GenAI

Responsibilities

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
• Design data solutions.
• Analyze sources to determine value and recommend data to include in analytical processes.
• Incorporate core data management competencies including data governance, data security and data quality.
• Collaborate within and across teams to support delivery and educate end users on data products/analytic environment.
• Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
• Test data movement, transformation code, and data components.
• Perform other duties as assigned.

• Bachelor’s Degree in STEM related field or equivalent.
• Six years of related experience.
• 3+ years in a data engineer role, with additional time spent working in the IT industry or an engineering related field, adding up to 7+ years.
• 2+ years of hands‑on ETL experience with Python or Py Spark
• Experience working with Cloud platform (AWS, Azure, Google, etc. – preferable AWS) and Cloud platform services. (Example of AWS core services: S3, IAM, lambda, Secret Manager, EC2.)
• Experience developing generative AI applications and large language models or equivalent technologies.
• Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of software engineering practices.
• The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to trade‑off and negotiation discussions.
• Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in‑depth knowledge of immediate systems worked on.
• Proven problem‑solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems.
• Strong verbal and written communication skills with the ability to interact with team members and business partners.
• Leadership – Intermediate leadership skills with a proven track record of self‑motivation in identifying personal growth opportunities.
• Must have:
  Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience. 2 additional years of software/data engineering experience.