Role Overview
Perform data management workflows.
Apply predefined acceptance and quality criteria to guarantee the integrity of financial data sets.
Key Responsibilities & Outcomes
- Databoost workflow support, MDE config support, Orca support
- Execute high-volume data workflows daily, using step-by-step one-books
- Apply predefined quality and acceptance criteria
- Operate within systems like Unix shell, SQL, BigQuery, and others
- Respond to push alerts and execute defined tasks in real-time
- Escalate only when needed; most tasks should be handled independently via one-books
- Do not deviate from one-books — compliance is critical
Qualifications & Requirements
- A Bachelor's degree in a technical discipline, and/or prior work experience in Technical Operations/Data Analysis (i.e., Data Operations, Systems Support Engineer, Process Engineer, IT Support, etc.).
- Solid data management or data handling experience.
- Scripting skills in any language (e.g., Python, Bash, PowerShell, JavaScript, R, Ruby).
- Advanced English verbal and written communication skills.
- Great attention to detail and comfortable with spreadsheets/numbers.
- Candidate resumes strictly limited to a maximum of 3 pages.