Software Engineer - Analytics Platform

Posted 7 Days Ago
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Kiryat Ono
In-Office
Mid level
Big Data • Cloud • Healthtech • Software • Big Data Analytics
The software company powering the path to the world’s new medicines.
The Role
The role involves designing and implementing big data platforms and pipelines using Apache Spark on AWS, collaborating with data scientists, and enhancing development practices.
Summary Generated by Built In
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

Veeva Company is seeking a talented Engineer to join our Big Data Analytics Tools group in Israel.

This is an amazing opportunity to work with a world-class team and to hold responsibility for designing and implementing big data platforms and pipelines. 

You will work with Engineers, Data Scientists, DevOps, and PMs and be in charge of designing and developing Apache Spark applications on AWS infrastructures that process large volumes of media exposure records while preserving privacy.

If you want to grow with us and work for a world leader company, now is the right time to join.

What You'll Do

  • Be part of an engineering team that focuses on Big Data analytical platforms and tools
  • Design and implement highly reliable and scalable Spark applications that efficiently process big data
  • Collaborate with data scientists on the design and implementation of ML data pipelines
  • Integrate with relational databases, MongoDB, and AWS services (e.g. EMR, S3, SQS)
  • Work in an agile team to improve the development life cycle, development practices, and testing facilities

Requirements

  • B.Sc. in Computer science or equivalent
  • 4+ years of experience with server side Java programming
  • 4+ years of experience in building SaaS production solutions in the cloud (AWS, Azure, GCP)
  • Strong analytical and troubleshooting skills
  • Design skills
  • Self-motivated and fast learner with a strong sense of ownership
  • Proficient English skills

Nice to Have

  • Experience with Spark
  • Experience with Big Data processing and use cases
  • Experience with Python
  • Experience with NoSQL databases such as MongoDB
  • Significant experience with EMR

#LI-MidSenior

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.

If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].

Top Skills

Spark
AWS
Emr
Java
MongoDB
S3
Sqs
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The Company
HQ: Pleasanton, CA
6,000 Employees
Year Founded: 2007

What We Do

Veeva is the global leader in cloud software for the life sciences industry. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,000 customers, ranging from the world’s largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves.

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