Required Skills and Experience:
- 5+ years of data warehouse engineering experience (SQL Server, T-SQL)
- 3 – 5 years working experience with Apache Spark/Databricks
- Expertise in data warehousing concepts such as persistent staging, SCD, dimensional modeling and time series analysis
- Strong experience with relevant programming languages and tools such as Scala, Python, C#, .NET, unit test frameworks, CI/CD
- Production experience implementing efficient ETL and ELT processes for large data sets, preferably with market and trading data related providers
- Experience with workflow orchestration tools, particularly Apache Airflow, including designing, implementing, and maintaining DAGs to automate complex data pipelines
- Direct experience developing and optimizing containerized applications using Docker, with knowledge in designing and deploying Kubernetes resources (e.g., deployments, services) to support scalable and efficient application workflows
- Proven ability to build Big Data solutions using Python and Spark or equivalent scale-out solutions
- Production experience with public clouds such as Azure (preferred) or AWS
- Familiarity with at least one NoSQL database (e.g., MongoDB, Cassandra, HBase, CouchDB, BigTable, DynamoDB, CosmosDB)
- Must be meticulous and able to prioritize work and effectively manage multiple tasks within given deadlines and parameters
Preferred Experience:
- Prior employment at an asset management company
- Complex time series and multi-dimensional data
- On-prem to cloud migration projects
- Data Science (machine learning / deep learning / artificial intelligence)
- Advanced degree in computer science/engineering, math, science, or related field
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What We Do
For more than 40 years, GMO has partnered with a broad range of sophisticated institutions, financial intermediaries, and families to provide the investment expertise they need to meet their goals and fulfill their missions.
Investing on behalf of our clients is GMO’s sole focus. Across asset classes and around the world, our investment teams identify and exploit long-term opportunities and develop solutions that both anticipate and respond to client needs.
GMO is comprised of a collection of investment teams with focused specialties. All are grounded in a long-term, valuation-based investment philosophy – an approach we believe provides the best risk-adjusted returns.
GMO partners with an impressive roster of sophisticated clients worldwide, delivering innovative investment solutions and tailored client service. Our clients benefit from our diverse expertise, intellectual curiosity, and open culture of debate, as well as from our ability and willingness to take advantage of contrarian market opportunities.
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