Data Engineer
Core
Deploy machine learning models to production, implement ETL pipelines, and manage data flows for analytics and BI systems.
Role type
Senior Data Engineer with AI/ML focus
Builds
Production ML models, scalable ETL/ELT pipelines, and data infrastructure
Domain
Technology consulting, cloud data engineering, and generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, cloud platforms (AWS/GCP/Azure), SQL/NoSQL, Spark/Kinesis, CI/CD, Docker/Kubernetes, Terraform/CloudFormation, data modelling, ML model monitoring
Preferred skills
Experience leading a team, decision making, generative AI knowledge
Technologies
Python, AWS, GCP, Azure, Spark, Kinesis, Docker, Kubernetes, Terraform, CloudFormation
Responsibilities
Deploy machine learning models to production and monitor performance; Implement ETL pipelines using batch and streaming technologies; Re-engineer data pipelines for scalability and automation; Navigate and query large scale datasets; Build processes for data transformation and metadata management; Deliver code, unit tests, and integration tests.
Seniority
Senior, hands-on IC with leadership expectations
