Data Engineer

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

NoVisa

Life Sciences, HealthcareIndustries

Requirements

Candidates must have 3+ years of experience developing data pipelines using cloud-managed Spark clusters like AWS EMR or Databricks. Fluency in Python or Java and Spark, along with previous experience building tools and libraries to automate data processing workflows, is required. Proficiency with SQL/SparkSQL, hands-on experience with a Data Lakehouse, and proven experience working and delivering in an Agile environment are also necessary. Nice-to-have qualifications include experience running data workflows through DevOps pipelines, developing data pipelines with orchestration tools like Airflow, experience with AWS services for data processing, and previous experience in the Life Sciences sector.

Responsibilities

The Data Engineer will be responsible for the OpenData data processing workflows in the US, building and maintaining data processing tools, pipelines, and reports to ensure data quality in reference data. They will develop algorithms to build complex data relationships, build analytical data structures to support reporting, and build and maintain Data Quality processes. Additionally, the role involves collaborating with the Product team to adapt reference data to changing market demands.

Skills

Python

Spark

Data Pipelines

Data Processing

Data Quality

Algorithms

Veeva Systems

Quality and regulatory software solutions provider

About Veeva Systems

Veeva Systems offers software solutions for quality, regulatory, and advertising claims management, focusing on consumer products and chemical companies. Their cloud-based platform provides visibility and traceability throughout the product journey, ensuring compliance with regulations and accelerating time-to-market. Unlike competitors, Veeva has specialized expertise in both the Life Sciences and Chemical sectors, allowing them to effectively address industry-specific challenges. The company's goal is to help clients efficiently bring safe and compliant products to market.

Pleasanton, CaliforniaHeadquarters

2007Year Founded

$6.8MTotal Funding

IPOCompany Stage

Enterprise Software, Healthcare, Consumer GoodsIndustries

5,001-10,000Employees

Benefits

Parental leave

PTO

Free food

Health, dental, & vision insurance

Gym membership reimbursement

Risks

Manual processes in medtech content management risk compliance issues and market delays.

GenAI features in Vault CRM may face data privacy and security challenges.

Rapid product expansion could lead to integration challenges and customer dissatisfaction.

Differentiation

Veeva Systems specializes in cloud-based software for the life sciences industry.

The company offers a subscription-based model ensuring continuous updates and improvements.

Veeva's Vault CRM Suite connects sales, marketing, and medical for customer-centric engagement.

Upsides

Veeva Compass Patient platform supports patient journey analysis and market sizing.

GenAI features in Vault CRM enhance field productivity with contextual task automation.

Veeva's digital HACCP solution improves safety and efficiency in compliance processes.

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