Job description

Software Engineer III - Data Engineer
Rocket Financial is an early-stage start-up in the Financial Technology space. Our mission is to change the way money moves around the planet. Primarily, we are building a business technology platform for those wanting to integrate and embed financial services into their customer applications.

https://rocketfncl.com/

RESPONSIBILITIES

Partner with internal operations teams to identify, collect, and integrate data from various business systems, ensuring comprehensive and accurate data capture
Design, implement, and maintain robust data pipelines that feed data into our Data Platform, ensuring high performance, scalability, and reliability
Ensure data pipelines adhere to best practices and are optimized for performance and scalability
Conduct thorough testing of data pipelines to validate data accuracy and integrity
Monitor data pipelines, troubleshoot any issues that arise, and make improvements to these issues where applicable
Establish and track SLAs for data processing and delivery, ensuring timely and reliable access to data for all users
Become a mentor for less experienced team members, and establish patterns and practices that can be followed to increase quality, accuracy, and efficiency of solutions produced by the team
Work with other teams in order to ensure access to data corresponds with company policies, and ensure data access, processing, and storage is in compliance with regulatory (e.g. GDPR, CCPA, etc.) requirements

QUALIFICATIONS
4+ years experience with AWS data processing tools (storage, processing, etc.)
5+ years of Java development experience.
Experience with Kafka and Kafka Connect.
Experience creating ETL pipelines using AWS tools (Lambda, Glue, Redshift, S3).
Experience with orchestration tools such as Apache Airflow.
Experience working with data visualizations and dashboards.
Experienced with JDK 17+, Spring Boot.
Experience in creating and implementing REST API in microservices components
Experience with both relational and non-relational data stores.
Experience with Docker.
Excellent verbal and written communication skills.
Excellent time management and organizational skills.
Ability to keep current and do independent research when needed.