Data Engineer
Core
Industrialize scalable AI solutions, develop high-volume data ingestion and transformation pipelines, and implement cloud or on-premise data architectures.
Role type
Senior Data Engineer / Team Lead
Builds
Scalable AI solutions, data pipelines, data warehouses, and data lakes
Domain
Data Engineering / AI / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Advanced programming (Java/Kotlin/Scala/Python), Advanced SQL, Data processing (queueing/streaming/batch), Data storage (SQL/NoSQL/warehouse/lake), Git, CI/CD tools, Docker
Preferred skills
Cloud certifications (Azure/GCP/AWS/Databricks/Snowflake), MLOps tools (Bento ML/Zen ML/ClearML/MLFlow/Dvc), OPS (Kubernetes/Terraform/Ansible), Unit/Integration/Load testing, Backend frameworks (Spring/Symfony), AI/Data Science basics, UNIX & Bash
Technologies
Java, Kotlin, Scala, Python, SQL, Git, Docker, Kubernetes, Terraform, Ansible, Azure, GCP, AWS, Databricks, Snowflake, Bento ML, Zen ML, ClearML, MLFlow, Dvc, Spring, Symfony
Responsibilities
Design and optimize applications and architectures for high-volume data, Pilot an experienced team of data engineers, Participate in code reviews and mentor juniors, Evolve the ML Ops technical stack, Support commercial teams with technical expertise, Develop cross-functional internal projects
Seniority
Senior, hands-on IC with team leadership
