Asset And Wealth Management - Marcus Product Engineering - Associate - Hyderabad
Talentmate
India
22nd July 2026
2607-3824-1020
Job Description
Job Description
What We Do
At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.
How You Will Fulfill Your Potential
We are looking for a skilled and motivated data engineer to design, build, and maintain robust, scalable, and efficient data pipelines and infrastructure for our analytics platform.
Design & develop modern data management tools to curate wealth management data sets, models and processes, while identifying areas for process automation and further efficiencies.
Design and implement complex multi-dimensional data models that support reporting and analytics.
Create and optimize complex SQL queries, stored procedures, and functions to extract, transform, and load data from diverse data sources into the cloud-based data warehouses.
Build and maintain robust data pipelines using modern programming languages such as Python, Scala, or Java.
Collaborate with business stakeholders to gather requirements, understand data needs, and transform them into actionable insights that drive business decisions.
Develop and maintain scalable and efficient dashboards, reports, and data visualizations that effectively present complex data in a user-friendly manner.
Perform data profiling, cleansing, and validation to ensure data accuracy, completeness, and consistency.
Provide technical support and troubleshooting data pipelines and transformations, resolving issues and ensuring system availability.
Stay up to date with emerging technologies, industry trends, and business intelligence and data analytics best practices.
Skills And Experience We Are Looking For
Bachelor’s or Master’s degree in computer science, Information Systems, or a related field.
4 to 7 years of hands-on experience in a Data Engineer, ETL Developer, or similar role, with a proven track record of building and maintaining data solutions.
Solid understanding of ETL concepts, methodologies, and tools.
Proficiency in working with relational databases and writing complex SQL queries
Strong understanding of database concepts, data warehousing, and dimensional modeling.
Solid programming skills in Java, Scala, Python (or others) for data processing and integration tasks.
Strong analytical skills with the ability to gather, analyze, and interpret complex data sets.
Excellent problem-solving abilities and attention to detail.
Strong communication and collaboration skills to work effectively with cross-functional teams.
Ability to work in a fast-paced environment, manage multiple priorities, and meet project deadlines.
Preferred Qualifications
Experience in the financial industry or a related field.
Familiarity with cloud-based data warehouses (e.g., Snowflake, GBQ).
Familiarity with cloud-based data pipeline services (e.g AWS Glue) or distributed processing frameworks like Apache Spark.
Goldman Sachs Engineering Culture
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.
Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!
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