Data Analytics Engineer
dv01Salary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Data & Analytics, Enterprise SoftwareIndustries
Requirements
Candidates should possess expert skills in Java or Python, along with experience writing software for the cloud (AWS or GCP). Strong experience with Apache Spark or PySpark is required, and the ability to speak and write English is necessary for effective team communication and technical contributions.
Responsibilities
As a Data Engineer, you will focus on improving Veeva Link’s data platform by working on features, refactoring, and innovation, collaborating with a data science team on ML models, and experimenting to enhance precision, recall, or cost savings. You will also take responsibility for the quality of the outcome, participate in architectural enhancements, and monitor and analyze data pipelines using metrics and observability.
Skills
Java
Python
Apache Spark
PySpark
AWS
GCP
ML models
SOLID
Clean Software Principles
Data Pipelines
Observability
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.
Key Metrics
Pleasanton, CaliforniaHeadquarters
2007Year Founded
$6.8MTotal Funding
IPOCompany Stage
Enterprise Software, Healthcare, Consumer GoodsIndustries
5,001-10,000Employees