First Derivative is driven by people, data, and technology, unlocking the value of insight, hindsight, and foresight to drive organizations forward. Counting many of the world’s leading investment banks as clients, we help our clients navigate the data-driven, digital revolution that is transforming the financial services sector. Our global teams span across 15 offices serving clients across EMEA, North America and APAC.
As an EPAM Systems, Inc. (NYSE: EPAM) company, a leading global provider of digital platform engineering and development services, we deliver advanced financial services solutions by empowering operational insights, driving innovation, and enabling more effective risk management in an increasingly data-centric world. Together with EPAM, we combine deep industry expertise with cutting-edge technology to help clients stay ahead in a rapidly evolving financial landscape, offering comprehensive solutions that drive business transformation and sustainable growth.
We are seeking a talented Senior Java Developer with SQL and AWS expertise to play a key role in developing and improving the backend structure of our AWS Data Lake. You’ll work closely with the data engineering team to build pipelines, workflows, and scalable solutions to enable the ingestion and transformation of mission-critical datasets.

REQUIREMENTS

• Strong programming experience in Java (e.g., Spring Boot or other Java frameworks), with over 3 years of hands-on development
• Advanced SQL skills, including performance tuning for large datasets
• Experience with AWS services for data engineering (e.g., Glue, Lambda, Redshift, Athena)
• Familiarity with data pipelines, ETL workflows, or event-driven architectures
• Experience in developing microservices is highly desirable

• Design, implement, and maintain Java-based services for large-scale data ingestion pipelines
• Integrate diverse data sources (structured, semi-structured, and unstructured) into the AWS data lake
• Write and optimize SQL queries to ensure effective data transformation and modeling
• Use AWS technologies such as Lambda, Glue, Step Functions, and S3 to enable ETL workflows
• Ensure resilience and scalability of backend data processes
• Collaborate with Data Analysts and Business Analysts to ensure business requirements are met effectively