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Duties and responsibilities
¡´ Collaborate with the team to build out features for the data platform and consolidate data
assets
¡´ 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 technical
architectures 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 every
successful engineer
¡´ Has a solid understanding of AWS tools such as EMR or Glue, their pros and cons and
is able to intelligently convey such knowledge
¡´ Implement automation on applicable processes

Mandatory Skills:
¡´ 9+ 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 or
Delta Lake
¡´ Bonus: Familiar with data observability solutions, data governance frameworks
Requirements
Bachelor¡¦s Degree in Computer Science/Programming or similar is preferred
Right to work
Must have legal right to work in the USA