Data Engineer Gcp

hace 4 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 monthApplication 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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