Data Engineer with Python

**HYBRID ROLE-3 days onsite;

Job Description:

Data Office team within Corporate Treasury Engineering performs governance function on all aspects related to data – collection, persistence and distribution. Additionally, the team works on data uplift projects that span across multiple teams within as well as outside of Corporate Treasury division.

Responsibilities:

•        Understand the data consumed within Corporate Treasury

•        Identify data gaps, data uplift and data consolidation opportunities

•        Work with multiple data consumers to understand the data requirements

•        Work with multiple data providers to source the data for Corporate Treasury needs

•        Create logical data models to represent financial assets

•        Direct the control and governance requirements for data quality

•        Implement data quality controls

Qualifications:

•             Bachelors’ or Master’s degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline

•             Programming experience in Python 5+ years and/or a compiled language (e.g. C, C++, Java)

•             Strong proficiency with SQL

•             5+ years of relevant, continuous experience

•             Experience at optimizing large complicated SQL statements

•             Strong developers with good knowledge of data structures and algorithms

•             Strong DB experience – Snowflake, MongoDB preferred

•             Comfortable multi-tasking, managing multiple stakeholders and working as part of a team

•             Excellent communication skills including experience speaking to technical and business audiences and working globally

•             Familiarity with financial markets and financial assets is a plus

•             Familiarity with tools that can aid with troubleshooting and performance optimization of SQL queries is a plus

•             Experience working in Agile methodologies

•             Fluency in English