Data Engineer Gcp

hace 2 días

Ciudad de México Praxis A tiempo completo

**Job Title**: Data Engineer

**Location**: 100% Remote (potential for hybrid in Mexico City, Lago Alberto 319

**Overview**:
Join the Ordering, Billing, Pricing & Finance (OBF) team at Google Cloud Systems, where you will play a crucial role in ensuring precise data delivery, optimizing pipelines, and resolving issues related to ordering, billing, and pricing in a dynamic cloud environment. This position supports critical business functions such as sales operations, marketing, order management, and business intelligence, enabling better decision-making through data-driven insights.

**Requirements**:

- 4+ years of experience as a Data Engineer.
- Expertise in GCP services and tools, including BigQuery, Cloud Storage, and Dataflow.
- Advanced SQL skills for querying and optimizing large datasets.
- Experience with ETL/ELT processes, including designing and managing data pipelines.
- Proficiency in programming languages (e.g., Python, Java, C++, App Script).
- Strong knowledge of data visualization tools (Looker Studio, Power BI, Tableau).
- Familiarity with version control systems (e.g., Git) and CI/CD pipelines.

**Preferred Qualifications**:

- Experience with Salesforce or other CRM platforms.
- Knowledge of Agile methodologies (Scrum, Kanban).
- Proven ability to optimize large-scale data workflows and troubleshoot complex issues.

Pay: $60,000.00 - $63,000.00 per month

Application Question(s):

- Do you speak Advanced English in a conversational way?
- What are your salary expectations per month in USD?
- Do you have at least 4 years of experience as a Data Engineer?
- Do you have experience with version control systems like Git?
- Have you worked with CI/CD pipelines in data engineering projects?
- Have you built dashboards using Looker Studio, Power BI, or Tableau?
- Are you proficient in writing and optimizing complex SQL queries?
- Which programming languages (e.g., Python, Java, C++) are you experienced with?
- Have you worked with GCP tools like BigQuery, Cloud Storage, and Dataflow?

Work Location: Hybrid remote in 11520, Ciudad de México, CDMX

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