Senior Data Engineer - Toronto Hub

Canada - Toronto

Veeva Systems

Veeva Systems Inc. is a leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, Veeva has more than 1,100 customers, ranging from the world's largest...

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Veeva develops cloud software that helps the world’s largest pharmaceutical companies and emerging biotechs bring critical medicine and therapies to the patients that need them. Our enterprise product suite is ubiquitous in the life sciences industry. 
Veeva is a ‘Work Anywhere’ company, so you can connect with teams in our Toronto office while also having the flexibility to work from home. And as a Public Benefit Corporation, you will work for a company with purpose and focused on making a positive impact on society.
We are looking for experienced data engineers to build a cloud-based data analytics solution for the life science industry. If you are passionate about data and are eager to design and build data platforms from the ground up this is the role for you. The data analytics platform will provide data ingestion, data storage, and rich data analytics capabilities with elegant visualization dashboards.

What You'll Do

  • Design and implement AWS based ETL processes to onboard data into our data lake from a variety of internal and external sources for our new data analytics platform
  • Design data models and data services for optimal storage and retrieval
  • Implement scalable data lake interfaces, microservices, and rest based API for querying and storing structured data
  • Integrate new technologies to support advanced analytic use cases

Requirements

  • 5+ years’ experience in Python or Java, preferably at an enterprise cloud software company
  • Proven ability to write clean, testable, readable code in a team environment
  • Hands-on experience with building data pipelines in a programming language like Java or Python
  • 3+ years of experience in relational databases with a mastery of SQL
  • Experience in data modeling, ETL development (pref. Apache Spark), and Data warehousing 

Nice to Have

  • AWS Services (S3, Redshift, Elastic Search)
  • Experience with large scale big data pipeline – ETL / Kafka / Spark / MapReduce / Hadoop
  • Familiarity with Open API Specifications and Swagger
  • Experience working in an agile environment

Learn More

Perks & Benefits

  • Allocations for continuous learning & development
  • Annual budget to donate to the non-profit of your choice
  • Health & wellness programs
#LI-Remote
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva Systems is an equal opportunity employer. Accordingly, we are committed to fair and accessible employment practices. Veeva Systems welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process.

Tags: Agile APIs AWS Big Data Data Analytics Data pipelines Data Warehousing Engineering ETL Hadoop Kafka Microservices Pipelines Python RDBMS Redshift Spark SQL

Perks/benefits: Career development Health care Wellness

Region: North America
Country: Canada
Job stats:  16  0  0
Category: Engineering Jobs

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