PySpark Engineer with AWS
1 week ago
Location : Plano, TX/ Wilmington, DE (Hybrid 3 Days a Week)
W2/Full Time Highly Preferred
Experience – 6+ years Minimum
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
Bachelor’s Degree in Computer Science/Programming or similar is preferred
Benefits-
Actual compensation is influenced by years of experience, specialized skill sets, and unique qualifications
Ccube provides various benefits such as subsidized medical, dental, vision InsuranceInterested Candidates feel free to DM OR can reach out to "rahul@ccube.com" for more details.
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