Data Engineer (Python, Spark)

Duties and responsibilities¿ Collaborate with the team to build out features for the data platform and consolidate dataassets¿ Build, maintain and optimize data pipelines built using Spark¿ Advise, consult, and coach other data professionals on standards and practices¿ Work with the team to define company data assets¿ Migrate CMS' data platform into Chase's environment¿ Partner with business analysts and solutions architects to develop technicalarchitectures for strategic enterprise projects and initiatives¿ Build libraries to standardize how we process data¿ Loves to teach and learn, and knows that continuous learning is the cornerstone of everysuccessful engineer¿ Has a solid understanding of AWS tools such as EMR or Glue, their pros and cons andis able to intelligently convey such knowledge¿ Implement automation on applicable processes

Mandatory Skills:¿ 5+ years of experience in a data engineering position¿ Proficiency is Python (or similar) and SQL¿ Strong experience building data pipelines with Spark¿ Strong verbal & written communication¿ Strong analytical and problem solving skills¿ Experience with relational datastores, NoSQL datastores and cloud object stores¿ Experience building data processing infrastructure in AWS¿ Bonus: Experience with infrastructure as code solutions, preferably Terraform¿ Bonus: Cloud certification¿ Bonus: Production experience with ACID compliant formats such as Hudi, Iceberg orDelta Lake¿ Bonus: Familiar with data observability solutions, data governance frameworksRequirementsBachelor's Degree in Computer Science/Programming or similar is preferredRight to workMust have legal right to work in the US