MORE ABOUT THIS JOB
Please note division and function examples are representative of opportunities common for this skill-set. The list is not exhaustive, and availability of open roles is determined based on business need. Specific roles will be confirmed through the interview process.
Marcus by Goldman Sachs
The firmâs direct-to-consumer business, Marcus by Goldman Sachs, combines the entrepreneurial spirit of a start-up with more than 150 years of experience. Today, we serve millions of customers across multiple products, leveraging innovative design, data, engineering and other core capabilities to provide customers with powerful tools and products that are grounded in value, transparency and simplicity.
Your Impact
This person will be:
- responsible for expanding and optimizing our cloud based data pipeline architecture
- building robust data pipelines and reporting tools
Basic Qualifications
- 3+ years of experience in data processing & software engineering and can build high-quality, scalable data oriented products
- Experience on distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large-scale data pipelines
- Strong Software Engineering experience with in-depth understanding of Python, Scala, Java or equivalent
- Strong understanding of data architecture, modeling and infrastructure
- Experience with building workflows (ETL pipelines)
- Experience with SQL and optimizing queries
- Problem solver with attention to detail who can see complex problems in the data space through end to end
- Willingness to work in a fast paced environment
- MS/BS in Computer Science or relevant industry experience
Preferred Qualifications
- Experience building scalable applications on the Cloud (Amazon AWS, Google Cloud, etc..)
- Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc..)