February 2
• Participating in all aspects of data platform lifecycle, including high level design, architecture definition, implementation, testing and deployment. • Curating complex datasets to prepare for either ML modeling or to be used for analytical work • Designing and building ETL pipelines to include data from a wide variety of sources. • Work collaboratively within cross-functional Teams (Analysts, Account Manager, Client Managers) • Implement solutions on the Cloud (we work on all 3 Clouds, AWS/GCP/Azure) • Work with tools and technologies such as Python, SQL, Google BQ, Data Studio, ML libraries
• University degree in Software Engineering, Computer Science or similar • Strong knowledge of Python • Strong knowledge of SQL • Excellent command of the English language Bonus points for: • Having completed relevant internships • Strong understanding of relational databases • Experience with ML models
• Competitive compensation • Monthly bonus • Discretionary annual salary increases • Internal trainings either product specific (like Google Analytics, Microsoft PowerBI) or data in general (SQL, AI/ML foundations). • Brand new tech equipment (Macbook laptop, big screen, headphones)
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