What you'll do:

 

· Design and build Data Integration pipeline and platform, analytic solutions for Transactional system that enable Fraud Detection platform to analyze, prevent and add business value.

· This data integration solutions would be expected to process large volume transactions in real time and in batch using opensource or cloud technologies.

· Working with multiple data storage system, leverage data to design and implement pipeline for Trust & Safety.

· Identify optimal solutions to efficiently scale the data flow agnostic of on-prem or cloud.

· Identify critical KPIs to measure vendor performance and develop programs targeting improvement of those KPIs

· Collaborate and work closely with both application engineer and data scientist on both functional and technical front.

· What you'll need:

· BS in Computer Science, Mathematics, Engineering, or Information Technology

· 3 – 5 years of experience working with data warehouses (Vertica and Hadoop preferred)

· 5 – 10 years of experience writing software in any of the following programming language (Java, Python, or Scala)

· Experience in data warehouse design and data integration methodologies

· Experience performing analytics to solve complex business problems

· 3 to 5 years of experience integrating data between operational databases, Datawarehouse using data integration tools.

· Expert level knowledge of data integration and familiarity with common data integration challenges like converting data types, handling errors, and translating between different technology stacks

· SQL expertise and the ability to work with many different database types including Postgres, SQL Server, Snowflakes and others as required

· Able to work independently, own the requirements and deliverables, and produce an EDI solution end to end successfully

· Able to work in a fast-paced environment and be comfortable being accountable for work products

· Bonus:

· Experience designing analytic solutions in Vertica, Snowflake

· Experience with the AWS ecosystem

· Experience in reporting tool

· Experience in ecommerce or large volume transactional systems

· Experience with statistical methods and data science