Staff Engineer leading the Cloudera Data Engineering experience across cloud environments. Shaping future data engineering solutions while mentoring engineers and working with cross-functional teams.
Responsibilities
Gain deep technical knowledge across the Cloudera Data Engineering technical stack, with a focus on Spark and Airflow, and apply this expertise in your daily work.
Work with a team of talented infrastructure engineers.
Help hire and mentor engineers while supporting their career growth.
Drive architecture and design discussions, providing strong technical direction for the team.
Collaborate with product, engineering, and cross-functional partners, leading the delivery of several large, critical features in Cloudera’s data engineering experience.
Work on large-scale distributed systems, ranging from hundreds to thousands of nodes in production clusters.
Bring passion for programming, clean coding practices, attention to detail, and a strong focus on quality.
Requirements
Relevant studies / BS or MS in Computer Science or related field
5+ years experience as a Software Engineer in infrastructure space
Strong understanding of at least one of the following languages: Java, Scala, C++, Python.
Passionate about programming, clean coding habits, attention to detail, and focus on quality
Excellent communication and collaboration skills (Most importantly)
Open-minded attitude, desire to learn new things and build great products
Experience with public cloud (AWS/Azure/GCP) and/or private cloud (OpenShift/Rancher) (It's a plus)
Experience with containerization (Kubernetes, Docker) (It's a plus)
Strong understanding of distributed systems and building systems at scale (It's a plus)
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