Role :: Data Engineer

Location :: Guadalajara, MX

Duration :: 12 Months

• The Lakehouse/Power BI/BA pod will provide a cross-functional team responsible for modernizing the organization’s analytics ecosystem, improving data quality, building scalable lakehouse capabilities, optimizing Power BI reporting, and translating business needs into actionable data solutions. The pod will include:

• Data Quality & Reconciliation Lead responsible for data validation, reconciliation, quality rules, and issue resolution;

• Senior Data Engineer focused on designing and developing the lakehouse architecture and data pipelines as the organization transitions from its current Azure DevOps environment toward Databricks on AWS S3;

• Power BI/Semantic Model Lead responsible for enterprise semantic models, data modeling, dashboards, reporting standards, and performance optimization;





• Requirements & Delivery BA responsible for requirements elicitation, user stories, acceptance criteria, dependencies, and delivery coordination;

• Analytics BA focused on report rationalization, inventorying and assessing existing reports, identifying redundancies, and defining opportunities to consolidate and modernize analytics.

The team will work within a SAFe Agile delivery model using Azure DevOps and collaborate across technologies including Oracle, Aurora, Amazon Bedrock, Unity, Datadog for observability, Boomi for integrations, Databricks, AWS S3, and Power BI to deliver trusted, scalable, and business-aligned analytics capabilities.

📌 Data Engineer || Guadalajara, MX
🏢 Ampstek
📍 Guadalajara