Analytics Engineer (BigQuery)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Analytics Engineer (BigQuery): Designing and maintaining scalable analytical data models to power business decision-making in the airline industry with an accent on dimensional modeling, data quality, and governance. Focus on bridging the gap between data engineering and product teams to enable self-service analytics and streamline CI/CD data workflows.
Location: Must be based in Argentina, Colombia, or Uruguay (Remote/Hybrid options available in specific cities).
Company
is a global software engineering firm that builds custom solutions for enterprise clients across various industries.
What you will do
- Design and maintain robust data models to serve complex analytical and business needs.
- Translate business requirements into structured, reusable data patterns and metrics.
- Promote best practices in data governance, documentation, and quality assurance.
- Collaborate with cross-functional teams including Data Engineers and product partners.
- Support self-service analytics by enabling data consumption via BI tools like Looker.
- Participate in design reviews and promote adherence to DataOps principles.
Requirements
- Minimum 3 years of experience in Analytics Engineering or Data Analytics roles.
- Proficiency in SQL and BigQuery is essential.
- Experience with Dataform or dbt frameworks.
- Fluent in Spanish and intermediate English (B2).
- Strong understanding of dimensional modeling and data marts.
- Familiarity with Git, CI/CD, and Python for data exploration.
Nice to have
- Experience with Google Cloud Platform.
- Exposure to DataOps methodologies.
- Previous experience contributing to data product development.
Culture & Benefits
- Flexible work environment with a focus on work-life balance.
- Comprehensive health insurance policy for you and your dependents.
- Paid time off for state holidays regardless of client schedules.
- Support for professional growth, including IT certification and course funding.
- Comfort service to assist with technical and everyday workplace issues.
- Active community with team gatherings and corporate events.
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