DataOps Engineer - Python, Scalable Data Pipelines (Onsite)

A global technology services firm is seeking an experienced DevOps/Python Engineer to design and optimize scalable data pipelines. This role demands expertise in the modern data ecosystem such as Druid and Databricks, along with strong programming skills in Python. The ideal candidate will manage distributed data systems while collaborating with cross-functional teams to enhance data workflows. Competitive compensation ranging from $60,000 to $135,000 with comprehensive benefits is offered.