Senior Data Engineer
Core
Design, build, maintain, and optimize scalable data pipelines and architecture for a global product portfolio, leveraging AI agents and automation to enhance engineering productivity.
Role type
Senior hands-on IC data engineer
Builds
Scalable, reliable data pipelines and data architectures (Data Lake, Data Mesh, Data Fabric)
Domain
Data Engineering / Cloud / AI-assisted development
Deliverable
production ML models
Required skills
Python, SQL, Spark, Git, CI/CD, Docker, Airflow, Dagster, Databricks, AWS, GCP
Preferred skills
AI agents, agentic workflows, LLMs, virtualization tools, real-time data processing
Technologies
GitHub Copilot, Claude, Airflow, Dagster, Databricks, AWS, GCP
Responsibilities
Lead data engineering projects and drive technical decisions; Act as a technical authority mentoring team members on architecture and practices; Champion engineering excellence through code reviews and automation; Drive data integration efforts across diverse platforms; Contribute to the development, performance, and maintenance of data pipelines; Identify opportunities to improve products and data architecture through intelligent automation.
Seniority
Senior, hands-on IC
