Job Responsibilities:

1. Design data pipelines and persistence in a cloud environment.
2. Build solutions to process structured and unstructured data from multiple sources.
3. Work with teams to build data catalogs and track lineage.
4. Build solutions for OLTP and OLAP.
5. Manage ETL at scale with open source and cloud native tools.
6. Design schemas and normalization strategies based on the queries performed.
7. Work with Lucene based search engines, with a preference for Elasticsearch.
8. Experience with data transport tools and messaging busses.
9. Work closely with software developers, data scientists, and quantitative analysts.
10. Design and implement highly available, scalable, cloud based storage solutions.
11. Manage, monitor, and operate production platforms.
12. Hands-on oversight of development work for the data analytics platforms.
13. The candidate must have experience developing production ready code to perform data transformations and basic analytics, in one or more programming languages, to include Python. Experience working with numerical, scientific, and machine learning libraries is desired.

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