Senior Big Data Engineer (Java + Spark)

We're seeking a highly skilled Big Data Engineer to design and build critical financial technology solutions. This role is central to developing a tool that empowers financial advisors to manage client opportunities based on defined business rules.

Essential functions

• Design, develop, and deploy Spark-based solutions for cleaning, transforming, and analyzing vast amounts of raw data. This includes working with Spark Streaming and applying Machine Learning techniques within the AWS environment.

• Develop and design robust Java APIs, leveraging your deep experience with:

• Utilize AWS SDK for Java to write code for deploying implemented services and manage data transfer from on-premises systems to the AWS cloud.

• Write and optimize database queries for both Relational and Non-Relational Databases.

Qualifications

• Primary Skills: Spark (with Java/Python), Java, AWS SDK (Java)

• Frameworks/Tools: Java 8+, REST API, MQ, Spring JPA, Hibernate, Distributed Caching.

• Cloud: AWS platform.

Would be a plus

• Prior experience in the Fintech industry.

We offer

• Opportunity to work on bleeding-edge projects

• Work with a highly motivated and dedicated team

• Competitive salary

• Flexible schedule

• Benefits package - medical insurance, sports

• Corporate social events

• Professional development opportunities

• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.