8 дней назад
Senior Engineer - Data Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer - Data Engineer (Snowflake/dbt): Developing dimensional data models, dbt transformations, and ELT/ETL pipelines that ingest data from ERP systems, APIs, flat files, and cloud platforms into Snowflake with an accent on data quality, performance, and cost optimization. Focus on building Python automation workflows, tuning queries and warehouses, validating data, and maintaining reliable data lineage.
Location: Guadalajara, Jalisco, Mexico
Company
is a digital product engineering company delivering products, services, and digital experiences across multiple devices and digital platforms.
What you will do
- Develop and maintain dimensional data models in Snowflake using star and snowflake schemas.
- Build, test, document, and deploy dbt models across staging, intermediate, and mart layers.
- Design and maintain ELT/ETL pipelines that ingest data from ERP systems, APIs, flat files, and cloud platforms.
- Develop Python automation scripts and data processing workflows using cloud-native services.
- Optimize Snowflake performance and costs through query tuning, warehouse monitoring, and efficient storage practices.
- Implement data quality validations, reconciliation, lineage documentation, testing, code reviews, and deployment activities.
Requirements
- 3+ years of experience in data engineering, analytics engineering, or a related role.
- Production experience with Snowflake and dbt, including data modeling, testing, documentation, and deployment.
- Strong SQL skills, including joins, CTEs, window functions, aggregations, and data transformation.
- Proficiency in Python for data processing, automation, and API integration.
- Experience with cloud-based ETL/ELT pipelines and familiarity with AWS, Azure, or GCP data services.
- Knowledge of BI tools such as Power BI or Tableau, Git version control, and CI/CD concepts.
Nice to have
- Working knowledge of Power BI.
- Additional experience with Python and ETL concepts.
Culture & Benefits
- Full-time employment within a global organization with more than 15,000 experts across 26 countries.
- Dynamic, non-hierarchical work culture.
- Service Region: UCC.
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