Senior Data Engineer

Job Number: R10008086
Brand: FoxNext
Job Type: Information Technology
Location: Playa Vista, California, United States of America
Job Posting Date: April 5, 2019
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OVERVIEW OF THE COMPANY

FoxNext

We are a collection of enduring brands and iconic, unforgettable characters. We create content for audiences big and small, reaching billions of people every day. Most of all, we are many individuals, each uniquely talented, each a critical piece to our puzzle, who collectively become a power. Desire to thrill and engage? Join us as we engage and inspire.

JOB DESCRIPTION

Senior Data Engineer sought by Aftershock LA Studios, Inc. in Playa Vista, CA to design, implement, debug, document, test, and maintain code and systems for ingestion, transformation, storage, and consumption of data from multiple games and millions of players. Collaborate with game teams, product managers, data analysts and technical stakeholders to craft the best solutions for the data driven business.  Design and implement database tables and data models to support the exploration and presentation of data from multiple games and millions of players, and create data visualizations and dashboards to provide business insights for product managers and other stakeholders.  Extract and integrate data from multiple sources via SQL and other tools to provide understanding of user behavior, system performance, etc.  Estimate engineering efforts to contribute to sprint planning and keep delivery on track, and ensure data quality is delivered timely and consistently with active alerting and notifications for escalation. 

Job Requirements:

Requires a Bachelor’s degree in Computer Science, Information Technology or related field, plus five (5) years of data engineering or related software engineering experience, including experience in data integration and network management; and data warehouse architecture and data modeling best practices.

Alternatively, will accept a Master’s degree in Computer Science, Information Technology or related field, plus three (3) years of data engineering or related software engineering experience, including experience in data integration and network management; and data warehouse architecture and data modeling best practices.

*Specific skills: Also requires experience or knowledge in the following: 1) ETL techniques and best practices to handle large data volumes; 2) SQL and NoSQL database experience; 3) Experience with relevant scheduling, batch and stream processing frameworks such as Apaches Spark and Kafka; 4) Experience with relevant scheduling and deployment frameworks such as Kubernetes and Google Cloud Composer; 5) Cloud infrastructure devops to support deployment and data management; 6) Python, Javascript, Node.js, MongoDB, BigQuery, Bash scripts, Looker and Pandas Data Science; 7) Infrastructure management on Amazon Web Services and Google Cloud Platform; and 8) Experience writing data ingestion jobs using REST APIs

*Any level of experience or knowledge in the specific skills is acceptable.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

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