Job Description
Are you passionate about data? NVIDIA is seeking exceptionally driven individuals for our Sales operation team, with the ability to mine and analyze data for actionable insights. This is an outstanding opportunity to join a world-class team and contribute to innovative solutions that drive our business forward!
What you’ll be doing:
- Build, develop, and maintain scalable data pipelines using Databricks/Python.
- Collaborate with team and internal collaborators to determine and support their data requirements for reporting and analytics.
- Optimize and automate ETL processes to handle large-scale datasets.
- Integrate data from multiple sources and manage data lakes and warehouses.
- Monitor, troubleshoot, and resolve issues related to data pipelines and data processing.
- Ensure data quality, reliability, and consistency across the data lifecycle.
- The person in this role will have a direct influence on demonstrating how BI/Data Science tools and techniques can provide actionable insights.
What we need to see:
- Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Systems or similar.
- 2-3 years of experience in data engineering, with at least 1 year of experience working with Databricks or a similar platform.
- Strong expertise in SQL, data modelling, and database management.
- Proficiency in Python for data manipulation and pipeline scripting. Good understanding of API Request/Response Architecture.
- Familiarity with cloud platforms (AWS, Azure) and data storage solutions.
- Understanding of data governance, data security, and standard methodologies. Knowledge and experience in statistical methods, data mining, and Machine Learning tools and techniques.
- Maintain knowledge of emerging trends and successfully implement this knowledge to educate collaborators of opportunities to provide data analytics solutions that support and drive the business.
- Excellent communication skills, ability to work remotely, and lead on projects independently.
- Flexibility to work with collaborators spread across different time zones. Self-starter who can balance multiple tasks and priorities.
