Jpmorgan Chase & Co. Plano , TX 75023
Posted 2 weeks ago
JobID: 210511130
Category: Software Engineering
JobSchedule: Full time
Posted Date: 2024-05-14T21:16:54+00:00
JobShift:
:
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
A Senior Data Engineer at FIGG is a software engineer with proficiency in data. The data engineer will build and maintain the FIGG data warehouse which is used for both reporting and analytics across the company. The individual works cross functionally with technical and business teams to identify opportunities to better leverage data. The data comes from a variety of sources and it is the responsibility of the data engineer to make sense of the data using cloud based systems (AWS) and provide a reliable and structured format to meet the different business needs at FIGG.
FIGG is a leading transaction-based digital advertising platform company with a mission to uncover value in everyday transactions. The company's advanced transaction-based platform, driven by $500 billion in transactions annually, provides advertisers with precise targeting and comprehensive attribution data. The FIGG platform delivers dynamic consumer offer experiences for financial institutions, banks, fintechs and digital platforms in the United States. Driven by innovation, FIGG is disrupting how brands engage with customers through the industry's most diverse advertiser-funded, card-linked offer portfolio.
Job 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 Figg's 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
Required qualifications, capabilities, and skills
Formal training or certification on Oracle or comparable relational database concepts and 5+ years applied experience
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
Preferred qualifications, capabilities, and skills
Experience with infrastructure as code solutions, preferably Terraform
Cloud certification
Production experience with ACID compliant formats such as Hudi, Iceberg or Delta Lake
Familiar with data observability solutions, data governance frameworks
Jpmorgan Chase & Co.