AI/ML Data Engineer
Core
Design, develop, and optimize scalable data pipelines, Feature Stores, and advanced data models to ingest, transform, and govern diverse data sources for AI-driven networking solutions.
Role type
Senior Data Engineer (AI/ML focus)
Builds
End-to-end data engineering pipelines for semi-structured and unstructured data (text, images, video, audio) supporting AI/ML tools and digital experiences.
Domain
Networking, Cloud Infrastructure, AI/ML
Deliverable
production ML models
Required skills
Python, PySpark, SQL, RDBMS, ETL/ELT, Web crawling/scraping, AWS S3, Snowflake, Kafka, Spark Streaming, Databricks, GitHub Actions
Preferred skills
AWS Glue, EMR, EC2, RDS, IAM administration, RCA (Root Cause Analysis)
Responsibilities
Develop and maintain data pipelines and Feature Stores; Design and architect scalable data engineering solutions; Implement advanced data transformations and quality checks; Integrate data from diverse sources; Create and implement advanced data models and schemas.
Seniority
Senior, hands-on IC
