Data Engineering SRE Associate

At Goldman Sachs, engineers play a crucial role in making things possible by connecting people and capital with ideas, solving complex engineering problems, and building scalable software and systems. As an engineer at Goldman Sachs, you will be part of a dynamic environment that requires innovative strategic thinking and immediate, real solutions. **Key Responsibilities:** - Drive adoption of cloud technology for data processing and warehousing - Lead SRE strategy for some of Goldman Sachs" largest platforms, including Lakehouse and Data Lake - Collaborate with data consumers and producers to ensure reliability and cost effectiveness - Develop strategies with data using relevant technologies such as Snowflake, AWS, Grafana, PromQL, Python, Java, Open Telemetry, and Gitlab **Qualifications Required:** - Bachelor's or Master's degree in a computational field (Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline) - 1-4+ years of relevant work experience in a team-focused environment - 1-2 years of hands-on developer experience - Understanding and experience of DevOps and SRE principles, automation, and managing technical and operational risk - Experience with cloud infrastructure (AWS, Azure, or GCP) - Proven track record in driving strategy with data - Deep understanding of data multi-dimensionality, curation, and quality - Proficiency in relational and columnar SQL databases, database design, and data warehousing concepts - Excellent communication skills and ability to collaborate with subject matter experts - Independent thinker with a commercial focus and strong problem-solving skills - Ability to build trusted partnerships across business and engineering teams This role at Goldman Sachs requires you to be a developer with a focus on Reliability, Observability, Capacity Management, DevOps, and Software Development Lifecycle. You will drive strategies with data, engage with various stakeholders, and ensure the reliability and cost-effectiveness of data platforms. Your background and experience will contribute to the success of Goldman Sachs" Data Engineering team.,