Data Engineer GCP - 4+ years of experience

Description

Job Summary: We are seeking a Semi-Senior Data Engineer GCP for strategic data engineering projects, focused on developing data pipelines, data architecture, and optimizing cloud-based solutions. Key Highlights: 1. Integration into strategic data engineering projects 2. Design and implementation of scalable data pipelines and solutions 3. Optimization of processes and development of robust solutions on GCP Data Engineer GCP We are looking for a Semi-Senior Data Engineer GCP with experience in developing data pipelines, data architecture, and optimizing cloud solutions to join strategic data engineering projects. What will you do in this role? Analyze technical requirements and assess integration of new data sources. Design and implement scalable data pipelines and solutions. Optimize processes, monitoring, and costs within the GCP ecosystem. Develop robust solutions using native Google Cloud Platform services. Execute functional and performance testing. Apply best practices in development, DataOps, and data management. Translate business needs into efficient technical solutions. Collaborate with multidisciplinary teams using agile methodologies. Essential Requirements Completed Bachelor's degree or Engineering degree. Google Cloud Professional Data Engineer certification is desirable. 4+ years of experience in Data Engineering projects on GCP. Experience in pipeline design, data modeling, and architectures such as: Data Warehouse, Data Lake, Lakehouse. GCP Knowledge Practical experience with: BigQuery Dataflow Composer / Airflow Cloud Storage Pub/Sub Cloud Functions or Cloud Run (desirable) Languages and Tools Advanced SQL Python Java Terraform (Infrastructure as Code) DevOps / DataOps Git (GitHub, GitLab, Bitbucket or similar) Deployment automation IaC with Terraform or similar tools Jenkins and Harness experience is desirable Working hours: Monday to Friday, 9:00 AM to 6:00 PM Hybrid work model: (Insurgentes Sur, Benito Juárez) We Offer 100% nominal salary Statutory and above-statutory benefits Savings fund, SGMM, grocery vouchers, bonuses Professional training and growth opportunities . -Requirements- Minimum education: Higher education - Bachelor's degree 4 years of experience Age: between 23 and 52 years Keywords: data, data, engineer, engineers, engineer, ing, engineer