Data Engineer
Core
Build and maintain scalable data platforms, integration pipelines, and analytics infrastructure to support operational and corporate data reporting, AI-driven insights, and data-driven decision-making.
Role type
Mid-level Data Engineer
Builds
Data, Integration, and Analytics (DIA) Platform
Domain
Mining / Mineral Resources / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
AWS, Databricks, Apache Kafka, Python, SQL, dbt, CI/CD workflows, Infrastructure as Code, batch and streaming data processing, API-based and event-driven ingestion
Preferred skills
MLOps practices, AI/ML workflows, Azure cloud platforms, data engineering certifications
Technologies
Databricks, AWS, Apache Kafka, Microsoft DevOps, Fivetran, AWS Glue, EventBridge, Power BI
Responsibilities
Develop and optimize scalable data platforms with automated pipelines; Design and manage batch and streaming workloads; Establish CI/CD workflows for pipeline deployment; Implement Infrastructure as Code; Create integration pipelines for data ingestion; Collaborate with stakeholders to translate reporting needs into data models; Provide operational support for analytics and BI systems.
Seniority
Mid-level, hands-on IC
