Summary
The job is for a Data Engineer in Margera, a growing analytics agency. The role involves participating in data platform lifecycle, curating datasets, designing ETL pipelines, working with cross-functional teams, implementing solutions on the Cloud, and using Python, SQL, Google BQ, Data Studio, and ML libraries.
Requirements
- University degree in Software Engineering, Computer Science or similar
- Strong knowledge of Python
- Strong knowledge of SQL
- Excellent command of the English language
Responsibilities
- 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)
Preferred Qualifications
- Having completed relevant internships
- Strong understanding of relational databases
- Good understanding and experience of web stack/building a web application
- Experience with ML model
Benefits
- 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)
- Tech equipment (laptop and big screen)
