At least 5 years of experience in data engineering, business intelligence, machine learning engineering, or a related role in a production environment.
Familiarity with data governance frameworks (e.g., DAMA-DMBOK) and regulatory compliance (e.g., GDPR, CCPA).
Hands on experience in Python and SQL. Experience with other programming languages (e.g., Java, Scala, C) is a plus.
Experience in best practices such as DataOps and MLOps
Experience with big data technologies and cloud platforms such as BigQuery, Kafka, GCP, AWS and their data engineering and machine learning products and services.
Strong understanding of software development best practices, including version control (Git), testing, and CI/CD.
Excellent communication and organizational skills, and the ability to stay focused on completing tasks and meeting goals within a busy workspace.
Skilled at working in tandem with a team of engineers, or alone as required.
