01 ago
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Gea Germany
|
Bogotá
01 ago
Gea Germany
Bogotá
Company Overview
GEA is one of the world’s largest systems suppliers for the food, beverage and pharmaceutical sectors. Our portfolio includes machinery and plants as well as advanced process technology, components and comprehensive services. Used across diverse industries, they enhance the sustainability and efficiency of production processes globally.
Responsibilities
- Data Architecture & Infrastructure Design: 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 modeling strategy and consumption ports.
- Pipeline Development & Integration: 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. 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.
- Continuous Improvement: Monitor and optimize query performance, pipeline efficiency, and infrastructure cost. St
📌 Data Engineer (Bogotá)
🏢 Gea Germany
📍 Bogotá