Senior Big Data Engineer (Scala)

Overview

Remote
$90 - $100
Contract - W2
Contract - 4 Month(s)
No Travel Required

Skills

Scala
Spark
Flink
Big Data
React . js

Job Details

Sr. Big Data Engineer (Scala) for Top Mass Media & Entertainment Company

Location: REMOTE

Contract Duration: 19 months +

Pay rate: up to $100/HR

Summary: We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our team is seeking a senior software engineer who will be a core team member for our advertising data platform engineering group. This engineering group focuses on big data infrastructure, operational data, audience solution, inventory forecasting and full funnel measurements as a foundation layer for Disney s addressable Ad Platforms.
WHAT YOU LL DO
-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
WHAT TO BRING
-Bachelor or above in computer science or EE
-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 build industry level high available and scalable service
-Passion about technologies, and openness to interdisciplinary work
-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 framework (React.js, Vue.js, Angular, etc.) and good knowledge of Web stack HTML, CSS, Webpack

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