обновлено 2 часа назад
Data Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (GCP/SQL/Python): Building and maintaining scalable data processing systems, end-to-end pipelines, and client dashboards with an accent on data integrity, quality assurance, and secure deployment. Focus on troubleshooting complex data issues, translating business objectives into KPIs and technical deliverables, and mentoring junior engineers.
Location: Cape Town, South Africa
Company
works in digital marketing and develops data and dashboard solutions for clients.
What you will do
- Maintain, upgrade, and expand data processing projects and solutions across EMEA.
- Build end-to-end data pipelines, from platform extraction and ETL through SQL development and dashboard creation.
- Develop and improve client dashboards, identify optimization opportunities, and translate business objectives into KPIs, measurement plans, and technical deliverables.
- Troubleshoot complex data and dashboard issues, conduct quality checks, and maintain data integrity and accuracy.
- Own small-scale projects, plan realistic deadlines, identify blockers, and communicate delivery risks.
- Mentor junior team members, lead client training sessions, and share data engineering knowledge across the organization.
Requirements
- Advanced SQL and Python skills.
- Professional Data Engineer certification from GCP.
- Advanced experience with GCP is essential.
- Experience with the full end-to-end data pipeline process, including platform access, raw data extraction, ETL, SQL, dashboards, and QA.
- Ability to document code and solutions clearly and maintain technical process documentation.
- Ability to address client data challenges, manage priorities, and support junior team members.
Nice to have
- Experience with AWS or Azure.
- Experience creating marketing materials such as case studies, blog posts, or award entries.
Culture & Benefits
- Values include earning trust, helping others succeed, taking the lead, and exceeding expectations.
- Opportunities to train clients and internal teams on technical data topics.
- Collaboration with Google and other technology partners.
- Inclusive environment and commitment to equal opportunity.
Hiring process
- Submit a resume, cover letter, and portfolio of relevant work.
- Applications are reviewed on a rolling basis until the position is filled.
- No response within two weeks should be considered unsuccessful.
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