Provide technical leadership post-sales to guide strategic customers in designing and implementing
Identify and drive new initiatives that help customers turn their data into actionable business
Architect production-level workloads, including performance testing and optimization of end-to-end
Deliver tutorials and training sessions to promote community adoption (hackathons, conference

🎯 Requirements

Hands-on and technical expertise with Apache Spark.
Hands-on experience with Databricks on large-scale projects.
Databricks Certified Data Engineer Professional certification.
Experience with big data technologies such as Hadoop, NoSQL, MPP, OLTP, OLAP.
5+ years as Software Engineer or Data Engineer; experience with query/ performance tuning and
Proficiency in Python, Scala, or Java.

🎁 Benefits

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