Senior Consultant - Java Developer

at  Evalueserve

ELEVATE YOUR IMPACT THROUGH INNOVATION AND LEARNING

Evalueserve is a leading global company that develops innovative and sustainable solutions for a wide range of clients, including more than 30% of the Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, domain-specific AI solutions, and deep subject matter expertise to elevate our clients’ strategic decision-making and business impact. Our clients include Amazon, Deutsche Bank, Johnson & Johnson, McDonald’s, Microsoft, Morgan Stanley, Nestlé, Novo Nordisk, and Procter & Gamble.
We have 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East and the rest of Asia-Pacific.
Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.
Watch this video to understand what it means to Elevate Your Impact at Evalueserve!

WHAT YOU WILL BE DOING AT EVALUESERVE:

You would be providing services to the Market Risk Management function of one of our I-bank clients. The candidate will work among a team, based in Chile, already supporting and interacting directly with the US client. We currently have Market Risk projects and platforms leveraging front-end and back-end technologies. We need to develop back-end services to provide access to Risk Engines and data pipelines.
We are looking for a highly motivated and experienced Java Developer to design, develop, and optimize our data infrastructure and pipelines. The ideal candidate will have a deep understanding of Java development on Cloud environments.

TASKS AND RESPONSIBILITIES:

• Design, develop, and maintain high-performance, scalable, and secure Java applications
• Implement distributed processing solutions using multi-threading and multi-processing orchestration
• Develop cloud-based applications on Azure
• Write efficient SQL queries, stored procedures, and create views for relational databases
• Analyze data and perform data transformations using tools like SSIS
• Script automation tasks using Python