Data Engineer

Glendale, WI - USA

Monthly Salary: Not Disclosed

Posted on: 13 hours ago

Vacancies: 1 Vacancy

Job Summary

Data Engineer
Contract Length: 12/25 - 12/26 extensions

Onsite hybrid 3-4 days / week
Must be local and willing to work onsite day 1
Location Options:
Seattle WA
Glendale CA
San Francisco CA
Santa Monica CA

STEM BA Degree (hard requirement!! MUST have a degree) 5 years relevant experience

Need for a data engineer with at least 3 5 years of experience emphasizing hands-on expertise with Spark (preferably using Scala or Java) and noted that familiarity with Databricks or AWS is a nice-to-have but not essential. The role focuses on developing data pipelines primarily supporting marketing and sales data reporting for downstream stakeholders specifically the DSDMS team. Prior marketing or sales domain experience is not required for candidates.

Job Description:

The Ad Intelligence team is under Ad Platforms and its mission is to transform advertising and Disneys 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. The right person for this role should have extensive experience on big data as well as solid expertise on backend services or full stack. If you are someone who is proactive hardworking and enthusiastic in these domains this is a phenomenal role for you!

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

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
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 frameworks (SpringBoot Angular etc.)

Additional Information Interview Process: The interview will consist of two rounds-one technical/coding interview with a team member and a second round each lasting about an hour.

Data Engineer Contract Length: 12/25 - 12/26 extensions Onsite hybrid 3-4 days / week Must be local and willing to work onsite day 1 Location Options: Seattle WA Glendale CA San Francisco CA Santa Monica CA STEM BA Degree (hard requirement!! MUST have a degree) 5 years...