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.