Data Engineer / BI

Industry: FinTech
Company size: 51-250
Not disclosed

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Job description

A well-funded financial technology enterprise rendering services to high-growth vertical software platforms is looking to hire a Data Engineer. The engineer will take full responsibility and ownership of high-level initiatives that improve projects and impact customer experiences. The company is dedicated to delivering highly innovative client solutions that reduce friction and boosts revenue. The candidate will work with a global team of passionate payments and software experts led by industry veterans from top organizations such as PayPal, Worldpay, and more. This is a full-time, long-term opportunity and requires a minimum of 5 hours overlap with EST.

Job Responsibilities:

Work closely with the engineering team to solve complex problems at large

Contribute to building a scalable platform using the best engineering practices

Work on refining the business requirements and evolving the payments platform

Take full ownership and responsibility for the features and services you build

Job Requirements:

Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)

At least 3+ years of relevant experience as a data engineer

Must have some experience in AWS, emphasizing on Glue, Lake Formation, S3, Athena, Redshift, RDS, QuickSight, Lambda, and Pyspark

Capable of adequately building and managing a pipeline of ETL

Proficiency with Domo, Apache Spark, and other related aspects is a plus

Outstanding written and verbal communication skills

The ability to work cross-functionally with teams that have diverse background

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