
Senior Big Data Infrastructure Specialist
2 weeks ago
The role of a Senior Big Data Platform Staff Engineer is pivotal in managing and optimizing our Big Data infrastructure platform. The ideal candidate will possess an in-depth understanding of Big Data technologies, architectures, and systems, as well as experience with managing large-scale data processing and analytics environments.
Key Responsibilities- We are seeking an experienced engineer to design, implement, and manage the Big Data infrastructure platform, including Hadoop, Spark, NoSQL databases, and data lakes.
- Managing Big Data clusters, including monitoring, troubleshooting, and optimizing cluster performance, as well as managing job scheduling and resource allocation.
- Designing and implementing storage solutions for Big Data workloads, including HDFS, S3, and other object storage systems.
- Ensuring the security and governance of the Big Data infrastructure platform, including managing access controls, implementing data encryption, and conducting regular security audits.
- Collaborating with data engineers and data scientists to optimize Big Data application performance and provide technical support and guidance on using the Big Data infrastructure platform.
- Planning and managing Big Data resource capacity, including forecasting, procurement, and deployment of new hardware and software.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- At least 8 years of experience in managing Big Data Platforms.
- Strong knowledge of Big Data architectures, including data lakes, data warehouses, and data pipelines.
- Experience in troubleshooting and resolving issues of the Big Data stack, ranging from hardware, networking, operating system to software.
- Strong understanding of data storage systems, including HDFS, S3, and other object storage systems.
- Experience with scripting languages, such as Python, Scala, or Java.
- Experience in managing physical and virtual infrastructures.
- Experience in supporting search workloads in multi-terabytes and billions of records.
- Experience in distributed systems.
- Proven experience in using DevOps tools and CI/CD pipelines effectively.
- Experience in leading engineering teams.
- The work is purposeful and meaningful.
- You will work with the best engineers.
- We work with modern technologies and tech stacks.
- We have excellent engineering culture and work-life balance.
- We aspire to engineering and operational excellence.
- We empower innovation.
- We grow together as a family.
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