G2i
Data Engineer
1mo ago
LATAMetlgcpparquetdata pipelinescloud
Hands-on Data Engineer to integrate mining operational data into cloud-native platforms enabling advanced analytics and AI.
About the company
- Our client, Alloy Mining Intelligence , is building AI-powered systems that help mining operations optimize production and make better real-time decisions through industrial data and machine learning. The team combines deep expertise in mining operations, industrial data infrastructure, and applied AI to deliver measurable improvements across mining processes.
- They are looking for a hands-on Data Engineer who can bridge the gap between operational mining systems and modern cloud-based data platforms.
Responsibilities
- This role is ideal for someone who enjoys solving real-world industrial data challenges.
- You'll work directly with data generated from mining operations, integrating historian systems, sensor data, and operational datasets into cloud-native platforms that support advanced analytics and machine learning.
- The work goes beyond traditional ETL. You'll help build the data backbone that enables optimization models and operational recommendations to flow back into industrial systems used by mine operators.
- Design and maintain data pipelines that ingest industrial and historian data into GCP.
- Process and transform large-scale Parquet datasets generated from mining operations.
- Load and optimize data within BigQuery and Bigtable environments.
- Build reliable data integration workflows between operational technology (OT) systems and cloud infrastructure.
- Support machine learning teams by providing clean, accessible, production-ready datasets.
- Help operationalize recommendations generated by analytics and ML systems back into historian or control environments.
- Collaborate closely with Data Scientists, Engineers, and mining domain experts.
- Troubleshoot data quality, reliability, and performance issues across the data platform.
Requirements
- 5+ years of experience in Data Engineering or Data Platform Engineering.
- Strong experience with Google Cloud Platform (GCP) .
- Hands-on experience with: BigQuery
- Bigtable
- Parquet
- Docker
- Experience building and maintaining production-grade ETL/ELT pipelines.
- Strong SQL skills and experience working with large-scale datasets.
- Experience integrating data from multiple operational systems.
- Ability to work independently in a remote environment.
Nice to have
- Experience in Mining, Metals, Energy, Manufacturing, Industrial IoT, or Process Industries .
- Experience working with: Industrial historians (OSIsoft PI, AVEVA Historian, Canary, etc.)
- SCADA systems
- Process control systems
- Time-series industrial data
- Experience supporting ML or AI-driven products.
- Familiarity with industrial operations and production optimization workflows.
- Spanish proficiency is a plus.
How to apply
- G2i Recorded Interview Professional background review
- Targeted technical deep dive
- Client Interview Conversation with the VP of Data Science
- Decision Fast turnaround after final interview
Other
- Remote | South America Preferred (Chile, Brazil, Peru, Argentina, Colombia) Full-Time | Direct Hire Compensation: Up to USD $120,000/year (Flexible Based on Experience)
- Direct impact on real-world mining operations.
- Work at the intersection of industrial systems, cloud infrastructure, and AI.
- Collaborate with a highly specialized team focused on operational optimization.
- Opportunity to solve complex data integration challenges rarely seen in traditional SaaS environments.
- Fast hiring process with direct access to technical and executive leadership.
- Remote across South America. Candidates with mining industry experience from Chile, Peru, Brazil, Argentina, or other mining-focused regions are especially encouraged to apply.
- Interested? Apply today and help build the data infrastructure powering the next generation of AI-driven mining operations.