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.