Database administration, including performance tuning, and implementing best practices
Develop and mentor coding standards
Implement new data maintenance processes
Evaluate and implement recent technology solutions
End-to-end process ownership
Communicate with stakeholders
Conduct knowledge exchange sessions with technical and non-technical audiences
Automate manual processes and develop data tools
Build new analytical processes, provide insight into data quality issues and implementation of data improvement solutions
Build processes to fetch data from open data sources, e.g. websites
Research and implement modern data mastering techniques to increase derived insight into disparate data sources
Support other data engineers with design of ETL processes, code reviews, and knowledge sharing
Develop and maintain data documentation, including data dictionaries, data flow diagrams, and data lineage

Bachelor’s degree in computer science or a technology-related field
5-8 years of relevant experience
Strong knowledge of data transformation processes, exposure to standard and complex datatypes
Knowledge of latest solutions in the market is a plus
Knowledge of Data Operations methodology and data management approaches is preferred
AWS/GCP certification (including cloud environment administration) required
SQL Server administration (tuning, database design and optimization)
Strong knowledge of Python and SQL required
Experience with a variety of coding tools and languages (SSIS, C#, Python, Git/Bitbucket, APIs, NoSQL)
Experience with CoPilot Agent Studio a plus
Knowledge of Jira, AI, Graph database is preferred
Knowledge of Machine Learning and reporting tools (Power BI)
Understanding of security and version controls
Experience in managing stakeholders and project plans
Proficiency in Microsoft Office Suite
Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success
Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors
Where applicable, fluency in English and languages relevant to the working market.

Data Engineer II

Key skills