Pipeline Engineer

CLIENT OVERVIEW:
The Walt Disney Company, commonly known as Disney, is an American multinational mass media and entertainment conglomerate that is headquartered at the Walt Disney Studios complex in Burbank, California
JOB TITLE :
Pipeline Engineer (14209777) - Ad Intelligence - Spark, Scala, Springboot/Java (Ca, Seattle, NY)
EMPLOYMENT TYPE/DURATION :
W2 only. 2 years.

• , pay up to 96.66/hr

LOCATION DETAILS:
IDEALLY WE WANT RESOURCE CLOSE TO A DISNEY HUB- CA, SEATTLE, NYC- Must be near in case called in to for meetings
INFO REQUIRED TO SUBMIT:

• Formatted Resume no logo)
• Unique identifier (MM/DD, last 4 of SSN...etc)

ABOUT THE ROLE:
Additional Information Intake with Manager-
IDEALLY WE WANT RESOURCE CLOSE TO A DISNEY HUB- CA, SEATTLE, NYC- Must be near in case called in to for meetings
Must have skills:
-Spark, Scala, Spring/Springboot/Java
-3-5 years general experience in addition to having experience in production- having worked at a company in prod environments- Operationalize and productionize of systems having worked on both
Datapipeline experience
Software engineering in Big Data experience
Ad targeting business domain experience.
Having come from a start up is a decline- not enough experience overall-so don't submit
Interview process=
1st interview 45 minutes Tech interview coding in Hacker rank- coding in spark/scala- usually an algorithm question and coding question
2nd interview - 45 minutes- conversational and some coding questions
The Ad Intelligence team is under Ad Platforms and its mission is to transform advertising and Disney's Ad platform with data and AI across TV and streaming video. 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 Disneys addressable Ad Platforms.
Basic Qualifications 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 Preferred Qualifications 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 Required Education BS STEM- MUST
Intake with Manager-
IDEALLY WE WANT RESOURCE CLOSE TO A DISNEY HUB- CA, SEATTLE, NYC- Must be near in case called in to for meetings
Must have skills:
-Spark, Scala, Spring/Springboot/Java
-3-5 years general experience in addition to having experience in production- having worked at a company in prod environments- Operationalize and productionize of systems having worked on both
Datapipeline experience
Software engineering in Big Data experience
Ad targeting business domain experience.
Having come from a start up is a decline- not enough experience overall-so don't submit
Interview process=
1st interview 45 minutes Tech interview coding in Hacker rank- coding in spark/scala- usually an algorithm question and coding question
2nd interview - 45 minutes- conversational and some coding questions