To thrive as a Data Engineer at Goldman Sachs, you need strong expertise in data modeling, ETL processes, and programming languages such as Python, Java, or Scala, often backed by a degree in computer science or a related field. Familiarity with big data technologies (like Hadoop, Spark), SQL/NoSQL databases, and cloud platforms (e.g., AWS, Google Cloud) is also highly valued, with certifications being a plus. Excellent problem-solving abilities, attention to detail, and the capacity to work collaboratively in a fast-paced, globally distributed team set top candidates apart. These skills are crucial for building robust and scalable data infrastructure that supports high-impact decision making in a complex financial environment.