An Global Investment company is looking to round out their Los Angeles based core Data team with a strong Data Engineer. This company uses research, analysis and global intelligence to anticipate investment opportunities and changes for their vast clientele. They manage over $500 billion in assets for a wide variety of small, medium and enterprise institutions as well as private wealth companies.
This Data Engineer role will be cross functional and will influence decisions across the firm. They will work on projects in sales, marketing, trading and risk management. This role is on the core Data Science team and will be responsible for developing solutions around algorithms, tools and infrastructure. This Data Engineer should ideally have experience in Fintech, as well as working with large data sets, designing, testing and implementing data pipelines.
This Data Engineer needs 5+ years experience and should be proficient in Python, Java or Scala- but Python is ideal. Experience with Elasticsearch, SQL and NoSQL databases as well as big data tools like Spark, Docker and Kubernetes are required. Any exposure to AWS, machine learning, data lakes and data warehousing are also required.