Big Data Developer for Cloud Platform
We are looking for a Big Data Developer fo one our clients - Google Cloud PlatformResponsibilities-Resolving client's technical issues-Help
We are looking for a Big Data Developer fo one our clients - Google Cloud Platform
Responsibilities
-Resolving client's technical issues-Help companies to create their applications and programs-Advising the best solutions to reach their objectives-Development and improvement of platforms-Training and meetings with client
We offer
-Full-time (39 hours/week) and long-term contract-Schedule: Rotating shift, 8 hours a day, between 06.00 and 20.00-Salary: 25.000Euros gross/year + up to 3.000Euros gross/year in bonus + ticket restaurant + Health insurance (600€ year)-Opportunity to grow in an international team-Discounts in language lessons
Minimum requirements
-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 (Google 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, Google Big Query, etc.).-Experience with distributed data stores (HBase, Cassandra, Riak, Google Bigtable, Amazon Dynamo DB, etc.) and/or distributed message brokers (Kafka, RabbitMQ, ActiveMQ, Google Pub/Sub, Amazon Kinesis, etc.).
Languages
-High/native level of English
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.
_The recruitment processes and people involved in them (both recruiters and Project Managers) will not discriminate any candidacy because of age, disability, ethnic, marital status, gender, nationality, ideology, politic, race, religion and sexual orientation.