Data Engineer GCP Mexico

Must have: • At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems. • Deep knowledge of Google Cloud Platform and cloud computing services. • Extensive experience in design, build, and deploy data pipelines in the cloud, to ingest data from various sources like databases, APIs or streaming platforms. • Proficient in database management systems such as SQL (Big Query is a must), NoSQL. Candidate should be able to design, configure, and manage databases to ensure optimal performance and reliability. • Programming skills (SQL, Python, other scripting). • Proficient in data modeling techniques and database optimization. Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing. • Knowledge of at least one orchestration and scheduling tool (Airflow is a must). • Experience with data integration tools and techniques, such as ETL and ELT Candidate should be able to integrate data from multiple sources and transform it into a format that is suitable for analysis. • Knowledge of modern data transformation tools (such as DBT, Dataform). • Excellent communication skills to effectively collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders. Ability to convey technical concepts to non-technical stakeholders in a clear and concise manner. • Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement. • Tools knowledge: Git, Jira, Confluence, etc. • Open to learn new technologies and solutions. • Experience in multinational environment and distributed teams. Good to have: • Certifications in big data technologies or/and cloud platforms. • Experience with BI solutions (e.g. Looker, Power BI, Tableau). • Experience with ETL tools: e.g. Talend, Alteryx • Experience with Apache Spark, especially in GCP environment. • Experience with Databricks. • Experience with Azure cloud-based infrastructure & systems.