Associate-Software Engineering Job in Hyderabad at Goldman Sachs

Goldman Sachs is hiring for the role of Associate Software Engineering!

Responsibilities of the Candidates:

• Senior Developer in large projects across a global team of developers and risk managers
• Performance tune applications to improve memory and CPU utilization.
• Perform statistical analyses to identify trends and exceptions related to Market Risk metrics. 
• Build internal and external reporting for the output of risk metric calculation using data extraction tools, such as SQL, and data visualization tools, such as Tableau. 
• Utilize web development technologies to facilitate application development for front-end UI used for risk management actions
• Develop software for calculations using databases like Snowflake, Sybase IQ, and distributed HDFS systems. 
• Interact with business users to resolve issues with applications.
• Design and support batch processes using scheduling infrastructure for calculation and distributing data to other systems.
• Oversee junior technical team members in all aspects of the Software Development Life Cycle (SDLC) including design, code review, and production migrations

Requirements:

• Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline
• 2-3 years’ experience working risk technology team in another bank or financial institution. Experience in market risk technology is a plus.
• Experience with one or more major relational / object databases. 
• Experience in software development, including a clear understanding of data structures, algorithms, software design, and core programming concepts
• Comfortable multi-tasking, managing multiple stakeholders, and working as part of a team
• Comfortable with working with multiple languages
• Technologies: Scala, Java, Python, Spark, Linux, and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant)
• Experience in working with process scheduling platforms like Apache Airflow.
• Should be ready to work in GS proprietary technology like Slang/SECDB
• An understanding of compute resources and the ability to interpret performance metrics (e.g., CPU, memory, threads, file handles). 
• Knowledge and experience in distributed computing – parallel computation on a single machine like DASK, Distributed processing on Public Cloud. 
• Knowledge of SDLC and experience in working through an entire life cycle of the project from start to end