Allgemeine Angaben
Ref Number
Req_00083472
Bewerbungsfrist
30-Nov-2022
Standort
Google GOVO-Philippines
Land
Philippinen
Job Kategorien
Digital Solutions
Work Style
Hybrid
Jobbeschreibung
Preferred Qualifications:
- Experience in technical support: familiarity with case prioritization, SLA compliance, and quality
- Experience with the popular technologies in the machine learning/big data ecosystem
- Experience with any ML library (scikit-learn, pytorch, tensorflow, Spark mllib) or basic understanding of ML concepts
- Experience with PaaS, and IaaS technologies
- Java or Objective C is a plus
Zusätzliche Stellenbeschreibung
Responsibilities:
- Provide technical and developer support to customers using Cloud Platform products, solutions and APIs
- Identify and document product bugs and feature requests and work with internal support teams and customers to implement effective solutions
- Ability to reproduce customer issues in order to efficiently provide a holistic fix
- Work closely with internal support teams to improve Cloud Platform products at a senior level
- Provide assistance and guidance to users through public forums
- Required Knowledge:
- Ability to read and understand code, able to write code to reproduce customer problems
- Strong research, analytical and problem solving skills required to work with petabyte or even exabytes of data
- Familiar with web protocols (HTTP, TLS/SSL, etc.)
- Firm understanding of programming (Java, C++, C#, Scala, Python, etc.) and scripting languages (Python/PHP/R)
- Background in SQL
- Experience with Big Data architectures and technologies (more than 1TB of data) and BI solutions
- Ability to read and understand public facing docs (developer's website or stackoverflow)
- Ability to read and understand logs and stack traces
- Familiarity with modern API technologies (OAuth, HTTP RPCs)
- Experience with distributed computing frameworks (e.g. Hadoop, Spark, Flink, Storm, Samza, Beam, Big Query, etc.)
- Experience with distributed data stores (HBase, Cassandra, Riak, Bigtable, Amazon Dynamo DB, etc.) and/or distributed message brokers (Kafka, RabbitMQ, ActiveMQ, Pub/Sub, Amazon Kinesis, etc.)
- Familiarity with parallel/distributed computing (NoSQL, MapReduce, Hadoop, Spark, etc.)
- Experience in deploying and managing distributed systems and clusters
- A strong sense of business ownership and customer focus
- Must have advanced Oral and Written English language and communication skills