Description:

Viseven Group is seeking a Data Engineer for a 6-month project.
The position is remote and available in Buenos Aires, Córdoba, and Santa Fe.
Working hours are 8 hours per day, Monday to Friday, in the EST time zone.
Responsibilities include assisting with data import (ETL) and maintenance.
The Data Engineer will process, cleanse, and validate the integrity of data for analysis.
The role involves developing best practices and protocols for data usage agreements with clients and vendor partners.
The Data Engineer will manage the flow of data from raw format to end-users.
Responsibilities also include developing templates and infrastructure to support data visualization.
The position requires maintaining and updating the data model and documentation to support business requirements.
The Data Engineer will automate electronic data exchange and apply data architecture best practices.
The role includes serving as a subject matter expert and collaborating with cross-functional teams to address data-related issues.

Requirements:

Candidates must have excellent knowledge of relational database management systems, data modeling, data migration, and data visualization.
Experience with data architecture using cloud computing tools is required.
Proficiency in AWS, particularly S3, Athena, Data Pipeline, and Glue, is necessary.
Experience with test-driven development is expected.
Candidates must have the ability to document requirements and specifications.
A B2+ level of English is required.
Proven working experience in data engineering is essential.
A BS degree in Computer Science, Information Management, or Engineering is required.
Hands-on experience in data modeling and data visualization is necessary.
Candidates should have experience in various coding languages such as SQL, Python, Java, or Scala.

The position offers the flexibility of remote work.
Candidates will have the opportunity to work with a leading global B2B MarTech service provider.
The role provides a chance to be part of a rapidly growing team of over 700 skilled professionals.
Employees will engage in a project that contributes to digital transformation in the Pharma and Life Sciences industry.
The position allows for collaboration with cross-functional teams and exposure to diverse data-related challenges.