Join a diverse team of approx. 2000 professionals across four continents, driving innovation and growth within intive’s technology hubs. Work alongside industry experts trusted by leading brands like Audi, BMW, Deichmann, Meta, NewsCorp, Tandem, Paramount, Vorwerk, and Warner Bros. Discovery to create pioneering, sustainable digital experiences.
At intive, agile thinking and deep industry expertise come together across Automotive & Mobility, Commerce, Financial Services, Healthcare & Life Sciences, and Technology, Media & Communication. Be part of a team that’s shaping the future of digital innovation.
What You Will Be Doing
- Design and build clean data Wherehouse and data processing.
- Participate in the entire development process, from designing small components to independently completing user stories.
- Lead and contribute to requirement analysis, planning, design, development and testing.
- Break down complex problems into manageable tasks and contribute to well-architected solutions.
- Collaborate with peers and seniors within your team and across the organization.
- Work with product managers using agile methodologies to deliver high-quality solutions on time.
- Partner with operations teams to ensure applications and services are highly available and reliable.
- Understand and address engineering-related concerns such as performance, network utilization, and resource impact.
You Are a Good Match If You Have:
- 2-3 years of experience in developing and deploying machine learning models.
- Intermediate level or greater experience with SQL or Spark.
- Intermediate to advanced knowledge with Python.
- Experience working with Snowflake or other as a data warehouse.
- Proven experience building dimensional data models.
- Hands-on experience with DBT for data transformation and testing.
Why Join intive?
We cultivate an environment where innovative ideas and excellence have room to thrive - even with a remote workforce. Our culture of learning rewards curiosit
📌 Senior Data Science Engineers (Argentina)
🏢 Intive
📍 Argentina
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