Data Engineer
Posted on 9/1/2022
INACTIVE
Veeva Systems

5,001-10,000 employees

Cloud computing services for pharmaceutical companies.
Company Overview
Veep's mission is to help R&D, quality, and regulatory teams eliminate inefficiencies and bring high-quality, safe, sustainable products to market without compromising quality. The company builds cloud-based tools for pharmaceutical research.

Company Stage

N/A

Total Funding

$224M

Founded

2007

Headquarters

Pleasanton, California

Growth & Insights
Headcount

6 month growth

3%

1 year growth

16%

2 year growth

37%
Locations
Toronto, ON, Canada
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Redshift
Python
Apache Spark
SQL
Java
AWS
Scala
Data Analysis
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • Bachelor's degree in Computer Science, Engineering or a related discipline
  • 3+ years of experience working on Apache Spark applications using Python (PySpark) or Scala
  • Experience creating spark jobs that work on at least 1 billion records
  • Intermediate or greater SQL knowledge
  • Experience creating data pipelines in a production system
  • Experience working on AWS environments (EMR, S3, Glue, Redshift, Athena)
  • We are looking for strong mentors with a proven record of making your team better
Responsibilities
  • Design and build applications that perform data analysis, transformations, aggregations, and other augmentations on large sets of data in a spark-based AWS environment (EMR, S3, Glue, Redshift, Athena)
  • Evaluate various pipeline models, tools, and environments and implement these to push data from our sources through your transformations and finally to our customers
  • Work with product management and data research teams to prototype and test new ideas then take those to production
  • Work in a fast-paced, test-driven environment
Desired Qualifications
  • Experience working with Data Quality techniques
  • Java development experience
  • Experience working with Machine Learning/AI models
  • Experience with agile methodologies