Associate Software Engineer

Exameets Pvt Limited; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

Join our Bengaluru-based team to curate data models, build scalable data processing frameworks, and provide data-driven insights across global teams. You will work with Java, Python, C++, and Hadoop/Spark, collaborating with cross-functional partners to turn data

Qualifications

• 1-6 years (Analyst/Associate) of relevant work experience in a team-focused environment.
• Bachelor’s degree (Masters preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline).

Responsibilities

• Curate, design and catalogue high quality data models to ensure that data is accessible and reliable
• Build highly scalable data processing frameworks for use across a wide range of datasets and applications
• Provide data-driven insight and decision-making critical to GS’s business processes, in order to expose data in a scalable and effective manner
• Understanding existing and potential data sets in both an engineering and business context

Skills

Java

Python

C++

C#

Analytical thinking

Communication

Independent thinker

Ownership

Education

Bachelor’s degree in Computer Science / Engineering / Applied Mathematics

Tools

Relational databases

Hadoop

Spark

Job description

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Position Summary

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

Key Responsibilities

• Curate, design and catalogue high quality data models to ensure that data is accessible and reliable
• Build highly scalable data processing frameworks for use across a wide range of datasets and applications
• Provide data-driven insight and decision-making critical to GS’s business processes, in order to expose data in a scalable and effective manner
• Understanding existing and potential data sets in both an engineering and business context

Experience Required

1-6 years (Analyst/Associate) of relevant work experience in a team-focused environment

Education Requirements

• Bachelor’s degree (Masters preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)

Technical Skills

Languages

• Java
• Python
• C++
• C#

Databases

• Relational databases

Soft Skills

• Excellent communications skills
• Independent thinker
• Strong work ethic
• Sense of ownership and urgency
• Strong analytical and problem solving skills
• Ability to collaborate effectively across global teams
• Ability to communicate complex ideas in a simple manner

Preferred Qualifications

• Financial Services industry experience
• Experience with the Hadoop eco-system (HDFS, Spark)