Data Engineer

Veeva Systems

Veeva Systems, a leader in industry cloud solutions, empowers life sciences firms to accelerate therapy delivery. Known for impressive revenue growth, the company prioritizes core values like customer and employee success. As a Public Benefit Corporation, Veeva promotes work flexibility, allowing employees to thrive in their preferred environment.

In this role you can expect to have the responsibilities:

• Develop and maintain data processing pipelines using advanced technologies.
• Utilize Python on Spark for data pipeline enhancement.
• Create algorithms to establish complex data interrelations.
• Construct analytical data structures for reporting purposes.
• Implement and manage quality processes for data.
• Collaborate with the Product team to address market demands impacting reference data.

This role comes with the following benefits:

• Comprehensive medical, dental, vision, and life insurance.
• Flexible paid time off and company holidays.
• Retirement programs.
• 1% charitable contribution program.

This role requires you to have:

• 3+ years of experience with cloud-managed Spark clusters like AWS EMR or Databricks.
• Proficiency in Python and PySpark with 3+ years of experience.
• Experience in automating and streamlining data processes.
• Strong command of SQL/SparkSQL.
• Hands-on knowledge of a Data Lakehouse.
• Effective communication skills and experience in an Agile environment.

You would benefit from having:

• Experience with data workflow automation through DevOps pipelines.
• Skill in developing pipelines using orchestration tools like Airflow.
• Familiarity with AWS data processing services such as EMR and MWAA.
• Background in the Life Sciences sector.

Veeva Systems is committed to equal opportunity employment and values diversity in its workforce. The company provides reasonable accommodations for applicants with disabilities. Veeva fosters a 'Work Anywhere' ethos, encouraging employees to work from the office or home depending on their preference, while ensuring collaboration through core working hours.