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Design and develop data systems and services to support various financial requirements.
Work closely with the finance team, product managers and other stakeholders to clearly define data requirements.
Define data models that best suit the requirements.
Work closely with R&D Engineers to define tracking and other data capturing.
Design and develop data processes.
Optimize and maintain data systems.
Acts as a focal point in relevant projects and domains
Work independently, while collaborating with multiple departments
At least three years of experience as a Data Engineer - must.
SQL at a mother-tongue language level - must (good technical knowledge of how things work under the hood).
Experience in heavily regulated data domains and/or with regulation/compliance reporting - advantage
Finance/accounting/legal/insurance background or relevant education - advantage
BI systems architecture and design - advantage
Experience in data quality assurance - advantage
Experience with technologies and tools including:
- Columnar, distributed databases: Preference for Redshift. Alternatively, Bigquery, Vertica, Snowflake, etc.
- Relational databases: Preference for MySQL. Alternatively, AWS-Aurora, SQL Server, PostgreSQL, Oracle, etc.
- Programming skills: Preference for Python. Alternatively, java, C#, or other common OO language - advantage
- BI reporting tools: Preference for Tableau. Alternatively, Business-Objects, Cognos, Microstrategy, Power-BI, Sisense, Qlickview, Looker, etc - advantage
Relevant academic degree or equivalent experience
Excellent communication skills in English
Ability to accommodate meetings with our US offices on flexible hours.