13 ago
|
Gea Group
|
Colombia
13 ago
Gea Group
Colombia
About the position
GEA is one of the world’s largest systems suppliers for the food, beverage and pharmaceutical sectors. Our portfolio includes machinery, plants, and advanced process technology, components and comprehensive services, used across diverse industries to enhance sustainability and efficiency of production processes globally. We are looking for a Data Engineer.
Your responsibilities and tasks
- Design and implement a unified data warehouse and/or data lake capable of serving multiple analytics and AI workloads.
- Define the overall data architecture strategy, including storage layers, access patterns, and scalability approach.
- Define the data extraction and landing strategy, partitioning and SCD (slowly changing dimensions), data modelling strategy and consumption ports.
- Build and maintain ETL/ELT pipelines consuming data from multiple enterprise source systems (ERP, CRM, operational tools, and others).
- Develop pipelines using Databricks (Lakeflow Connect) & Azure Data Factory as primary platforms.
- Ensure pipeline reliability, scalability,
and observability through monitoring, alerting, and logging.
Data Quality & Governance
- Establish and enforce data quality standards, validation rules, and anomaly detection processes.
- Implement data cataloguing, lineage tracking, and documentation practices to ensure transparency and auditability.
- Define naming conventions, schema standards, and access control policies in coordination with stakeholders.
Collaboration & Stakeholder Engagement
- Work closely with data scientists, BI analysts, and developers within the team to ensure data products meet downstream requirements.
- Translate business requirements from non-technical stakeholders into robust data models and pipeline logic.
- Actively contribute to sprint planning and technical decision-making within an agile team environment.
- Monitor and optimize query performance, pipeline efficiency, and infrastructure cost.
- Stay current with developm
📌 Data Engineer (Colombia)
🏢 Gea Group
📍 Colombia