Senior Data Engineer (Bigquery, Dbt, Python, Data Modeling)
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6+ years of experience in Data / ETL Engineering, as well as Data / ETL Architecture and pipeline development with a minimum of 2+ years of working experience as Google Cloud Platform (GCP) developer. Bachelor-level degree in Computer Science, MIS, or CIS, or equivalent experience. Proven experience in building and maintaining a scalable Data Warehouse in a cloud-based data platform, preferably in Google’s BigQuery. Experience with the primary managed data services within GCP, including DataProc, Dataflow, BigQuery etc. Proficiency in SQL, DBT, Python (Apache Airflow, Composer) and hands-on experience with ETL tools like Talend, Fivetran or similar. Proficiency in Git for version control Experience with DBT for data transformation. Proven experience in high-quality designing, building and maintaining ETL processes, automated data quality checks and reusable ETL components. Familiarity with Data Lake and Data Warehousing concepts and Data Modelling techniques. Familiarity with concepts like star schema, snowflake schema, standardization, normalization, fact and dimension tables. Strong problem-solving skills and the ability to work independently as well as collaboratively. Excellent communication skills and the ability to articulate technical concepts to non-technical stakeholders. Bachelor-level degree in Computer Science, MIS, or CIS, or equivalent experience.
Requisitos y Perfil solicitado (Bases Oficiales)
Condiciones y Beneficios
- ✦Planilla con beneficios de ley o contrato internacional USD según régimen.
- ✦Presupuesto para capacitaciones, cursos online y certificaciones.
- ✦Flexibilidad horaria y ambiente multicultural de alto impacto.