The Role
Veeva Pulse is our new data product that collects big data from multiple sources to provide customer benchmarks and industry insights to Veeva customers in order to help the industry become more efficient and effective.
We are looking for a talented and experienced data engineer to join our team. The ideal candidate will have a strong understanding of data engineering principles and practices, as well as experience with a variety of data processing and analysis tools. The data engineer will be responsible for designing, building, and maintaining our data infrastructure, as well as developing and implementing data pipelines.
What You'll Do
Design, build, and maintain our data infrastructure, including data warehouses, data lakes, and data pipelines
Use our proprietary big data to extract, transform, and load data from a variety of sources
Work with product managers, data scientists, and other stakeholders to design and implement data-driven solutions
Run jobs and ensure these jobs work and can scale
Monitor and maintain our data infrastructure to ensure data quality and availability
Stay up-to-date on the latest data engineering technologies and trends Tune databases
Requirements
Bachelor's degree in computer science, data science, or a related field
5+ years of experience in data engineering
Strong understanding of data engineering principles and practices
Experience coding analytics in Python
Experience with a variety of database, including MySQL, Clickhouse，Hive
Excellent problem-solving and analytical skills
Strong communication and teamwork skills
candidate will be comfortable working independently and as part of a team
Nice to Have
Experience with cloud service platforms (e.g., AWS, Azure)
Familiarity with real-time data processing frameworks (e.g., Kafka, Flink)
Hands-on experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
Knowledge of data governance and compliance best practices
Background in machine learning engineering or MLOps