Viseven is hiring a

Data Engineer

Buenos Aires, Argentina
Contractor
Remote
Viseven Group is a leading global B2B MarTech service provider, empowering Pharma and LifeScience companies since 2009. Our mission is to drive digital transformation and excellence, offering comprehensive end-to-end software and digital marketing services tailored to the pharmaceutical industry. The company's solutions, products, and services are actively used by the top 100 Pharma and Life Science companies.
At Viseven, our rapidly growing team boasts over 700 highly skilled professionals, including experts in development, design, business analysis, project management, delivery, sales, marketing, and customer success.
With a global footprint in more than 30 countries across the US, LATAM, Europe, and APAC, and physical offices in Ukraine, Poland, Estonia, India, and the US, we are well-positioned to serve our diverse clientele.
Join us and become part of a pioneering team dedicated to shaping the future of digital transformation in Pharma and Life Sciences across more than 50 countries around the globe.

Role description:
We’re looking for a Data Engineer for a 6-month project. Working hours: 8 hours/day, Mon-Fr, EST time zone.

Responsibilities:

  • Assist with data import (ETL) and maintenance
  • Process, cleanse, and validate the integrity of data to be used for analysis
  • Develop overarching best practices and protocols for data usage agreements with clients and vendor partners
  • Manage flow of data from raw format to end-users
  • Develop templates and infrastructure to support data visualization
  • Maintain and update data model and documentation to support business requirements
  • Automate electronic data exchange
  • Apply data architecture best practices
  • Serve as a subject matter expert and collaborate with cross-functional teams to address data-related issues

Technical Skills:

  • Excellent knowledge of relational database management systems, data modeling, data migration and data visualization
  • Experience with data architecture with cloud computing tools
  • Experience with AWS particularly S3, Athena, Data Pipeline and Glue
  • Experience with test-driven development
  • Ability to document requirements and specifications

Qualifications:

  • English level B2+
  • Proven working-experience in data engineering
  • BS degree in Computer Science, Information Management, or Engineering
  • Hands-on experience in data modeling and data visualization
  • AWS experience
  • Experience in a variety of coding languages such as SQL, Python, Java or Scala

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