Data Engineer - Multiple Positions
Core
Design and build robust data pipelines and infrastructure to support business decisions and guide data-driven strategies for clients.
Role type
Senior Data Engineer (Cloud & Databricks)
Builds
Scalable streaming and batch data solutions, complex data engineering engagements, and AI applications on Databricks.
Domain
Cloud Data Engineering / Big Data / AI
Deliverable
production ML models | product features | infrastructure
Required skills
Databricks administration, Spark Scala/Python/PySpark, Cloud platforms (AWS/Azure/GCP), DataOps, CI/CD, Kafka, StreamSets, Data modeling, ML frameworks (MLlib, TensorFlow, Pytorch)
Preferred skills
Databricks Engineering certification, Azure Data Engineer Associate, GCP Professional, AWS Solutions Architect Professional
Technologies
Databricks, Spark, Kafka, StreamSets, MapReduce, TensorFlow, PyTorch, AWS, Azure, GCP
Responsibilities
Design, develop, deploy, and document complex customer engagements; implement comprehensive big data projects; ensure Databricks best practices; assist in project estimation and risk management; facilitate knowledge transfer and training; share expertise to enhance team effectiveness.
Seniority
Senior, hands-on IC
