1 Design, develop, and maintain data pipelines and infrastructure.
2 Collect, clean, and transform data for analysis.
3 Develop and implement data quality checks.
4 Troubleshoot data-related issues.
5 Work with data scientists and analysts to develop data-driven solutions
Technical Experience:
1  Must have experience with databases administration, ETL
2 Experience in SQL, Python, and data prep
3 Experience in supporting global clients or internal stakeholders in data science projects.
4 Experience of working across multiple geographic borders and time zones."

 1Hard-working with a whatever it takes attitude
2 Able to demonstrate effective teamwork both within the immediate team and across teams
3 Excellent communication written  spoken skills