Job Description
Location : Santa Monica CA
Onsite / Hybrid / Remote : Onsite, 4 days a week
Duration : 18 months
Rate Range : $ 103 / hr on W2 depending on experience (no C2C or 1099 or sub-contract)
Work Authorization : GC, USC, All valid EADs except H1b
Must Have :
Primary skillsets looking for(In the order of importance from left to right) :
- Primary / Relevant Work experience : Software Engineering with Big Data Experience
- Primary Languages : Scala, Java, Python
- Primary Technologies : Spark, SpringBoot
- Primary Ecosystems : AWS, Hadoop
Basic Qualifications :
- 4+ years of professional programming in Java, Scala, Python, and etc.
- 3+ years of big data development experience with technical stacks like Spark, Flink,
- Singlestore, Kafka, Nifi and AWS big data technologies
- Knowledge of system, application design and architecture
- Experience of building industry level high available and scalable service
- Passion about technologies, and openness to interdisciplinary work
Responsibilites :
- Build components of large-scale data platform for real-time and batch processing, and own features of big data applications to fit evolving business needs
- Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability
- Contribute to the best engineering practices, including the use of design patterns, CI / CD, code review and automated test
- Chip in ground-breaking innovation and apply the state-of-the-art technologies
- As a key member of the team, contribute to all aspects of the software lifecycle : design, experimentation, implementation and testing.
- Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment
NICE-TO-HAVES :
- Experience with processing large amount of data at petabyte level
- Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ALB, and etc.
- Experience with ClickHouse, Druid, Snowflake, Impala, Presto, Kinesis, etc.
- Experience in widely used Web frameworks (SpringBoot, React.js, Vue.js, Angular, etc.)
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