Python spark

Job description:

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:
● 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 or
Delta Lake
● Bonus: Familiar with data observability solutions, data governance frameworks
Requirements
Bachelor’s Degree in Computer Science/Programming or similar is preferred