Data Engineer Vice President Wealth Management
5 days ago
At The Goldman Sachs Group, we're seeking a talented Data Engineer Vice President Wealth Management to join our team. As a key member of our Private Wealth Management Engineering team, you'll play a pivotal role in building and supporting the firm's direct to consumer deposits business.
Your Impact:
This person will be responsible for expanding and optimizing our cloud-based data pipeline architecture, building robust data pipelines and reporting tools, and collaborating extensively with Engineering, Analytics, and Product teams to support functional use-cases and take data-driven decisions to build and enhance the state-of-the-art, industry-leading, and best-in-class online and phone banking platform.
Key Responsibilities:
- Expand and optimize our cloud-based data pipeline architecture
- Build robust data pipelines and reporting tools
- Collaborate with Engineering, Analytics, and Product teams to support functional use-cases and take data-driven decisions
Requirements:
- 7+ years of experience in data processing and software engineering
- 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.)
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