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Dataops Engineer, Lisbon

Portugal, Lisbon, Lisbon
Última atualização 2024-02-22
Expira 2024-03-22
ID #2001447211
2 US$
Dataops Engineer, Lisbon
Portugal, Lisbon, Lisbon,
Modificado January 20, 2024

Descrição

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 Saa S companies in history, we surpassed $2 B 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.
As a

Work Anywhere

company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in

transforming the life sciences industry , committed to making a positive impact on its customers, employees, and communities.
The Role
Veeva Open Data supports the industry by providing real-time reference data across the complete healthcare ecosystem to support commercial sales execution, compliance, and business analytics. We drive value to our customers through constant innovation, using cloud-based solutions and state-of-the-art technologies to deliver product excellence and customer success. The Open Data Global Data Tools team delivers the tools and data processing pipelines to build the global data core for life sciences in 100+ countries.
As a Data Ops engineer of the Global Data Tools team, you will design the data assembly line that allows deriving insights from data faster and with fewer errors. You will be responsible for creating the tools and the processes used to store, manage and process all compiled data to build the Open Data Reference.
This is a Work Anywhere position – you can choose to work remotely, or in one of our offices. Veeva Systems does not anticipate providing sponsorship for employment visa status for this position and you must already hold legal work authorization without needing an employer’s support.
What You'll Do

Build Data Ops tools for data workflows automation and streamline data processing(e.g., reusable software libraries, tools to orchestrate data processing tasks and its dependencies and components to enable CI/CD integrations)
Adopt solutions and tools that adhere to the Data Ops best practices
Continually strive to reduce wasted effort, identify gaps and correct them, and improve data development and deployment processes
Develop the ingestion pipelines for raw data
Put in place the building blocks to deliver the data core for life sciences
Requirements

Proficient in Python programming language and Py Spark
3+ years of experience working with Apache Spark
Previous experience building tools and libraries to automate and streamline data processing workflows
Experience running data workflows through Dev Ops pipelines
Experience orchestrating data workflows using state-of-the-art tools (e.g., Airflow, AWS Steps, or similar from other cloud vendors), spawning jobs in a Spark cloud-managed cluster (e.g., EMR, Databricks)
Experience with the Delta Lake Architecture and the delta format
Nice to Have

Hands-on experience using Dev Ops tools to deploy and administer clusters in a managed Apache Spark platform in the cloud (e.g., Databricks, AWS EMR)
Valuable previous experience with Scala or Kotlin programming languages
Experience with Amazon Redshift
Previous experience in the Life Sciences sector
Perks & Benefits

Benefits package including Restricted Stock Units (RSUs), family health insurance, and contributions to private pension plans
Annual allocations for continuous learning, development & charitable contributions
Fitness reimbursement
Work anywhere
#Remote Portugal
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
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.

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Detalhes do trabalho

Tipo de emprego: Tempo total
Tipo de contrato: Permanente
Tipo de salário: De hora em hora
Ocupação: Dataops engineer
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