Location: Anywhere in Country At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to
About Goldman Sachs At Goldman Sachs, we commit our people, capital, and ideas to help our clients, shareholders, and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking,
Why GM Financial Technology Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that
Job Description To ensure uncompromising accuracy and timeliness in the delivery of critical risk metrics that support Goldman Sachs’ decision making process, our data platform is continuously growing and evolving. Capital Risk Engineering combines the principles
Job Description:At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we’ve tirelessly delivered on our promise to customers sending money globally, providing secure, simple,
Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can
Description About Alvarez & Marsal Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients problems
Job Description: Job Description We are looking for an experienced Scala Developer with strong hands-on experience in Scala, Java, and Hadoop ecosystem technologies. The ideal candidate will be responsible for designing, developing, and maintaining scalable data processing applications
DESCRIPTION: Duties: Design and implement scalable, secure cloud architectures that support advanced data engineering and analytics workloads. Develop and optimize cloud-native data pipelines, storage solutions, and distributed systems using modern cloud services. Lead engineering teams in
DESCRIPTION: Duties: Responsible for the resolution of all user and technology issues. Support and maintain various Linux and Java RDBMS based applications on cloud platform. Monitor and troubleshoot batch jobs that are scheduled in Control-M and Autosys.