Position Details
About this role
This role involves leading big data processing initiatives, designing reference architectures for Spark applications, and working closely with clients to optimize data workflows and accelerate analytics using open source tools.
Key Responsibilities
- Lead Spark application architecture
- Define reference architectures
- Engage with customers for technical solutions
- Optimize data processing workflows
- Collaborate with engineering teams
Technical Overview
The technical environment includes Apache Spark, Hadoop, Hive, Presto, Kafka, and RAPIDS Accelerator, with programming in Python, Scala, Java, and SQL. The focus is on scalable data processing and analytics.
Ideal Candidate
The ideal candidate is a senior data engineer or architect with over 12 years of experience in big data processing, specializing in Apache Spark and open source data ecosystems. They have a strong background in designing reference architectures and leading technical engagements with enterprise clients.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 12 years of experience in software development or research, Lack of experience with Apache Spark or big data frameworks, Inability to define reference architectures, No experience with customer engagement
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