Job Details

Big Data Engineering Architect

Philadelphia, Pennsylvania, United States
Are you interested in building products customers love for Video Entertainment, and Digital Home? Our team, Product Analytics Behavior Science team (PABS) consists of engineers, scientists, and analysts. We demonstrate petabytes of data and the latest in big data technologies such as AWS services and software like Databricks Spark, AWS AthenaS3, and Google's Looker BI platform to process and lead billions of events every day. We make data and insights on Comcast's products and services accessible to product and business owners so that they can make data driven decisions for millions of Comcast customers! PABS is looking for "full-stack" big data engineerarchitect to help build out our data platform for the next generation of Xfinity products. A successful candidate will wear many hats and is encouraged to quickly prototype and build data pipelines, models, and visualizations. Responsibilities Architect and build data pipelines for both real-time telemetry and data warehousing. Build or implement solutions for metadata management. Perform exploratory data analysis on existing products and datasets (both structured and unstructured) Develop data models and mappings Define metrics for tracking how customers are interacting with products and service Demonstrate awareness and curiosity in trends for our usage data and KPIs (high level reachfrequencyengagement metrics should be top of mind) Maintain awareness and track feature releases, act as an adjunct project manager to track vital instrumentation, metrics, AB test results Maintain documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools Evaluate the efficiency of softwareproduct releases and conduct read outs on results Requirements Minimum of a Bachelor's of Science in any related fields (Computer Science, Engineering, Mathematics, Statistics...) Demonstrated ability in data and analytics and 2 years of experience with big data technology stacks Spark, Python, Scala, Java, SQL BI Tool (Looker, Tableau, Qlik) Proficiency Experience or knowledge of data warehousing methodologies You're comfortable working in a variety of tech stacks Youaposre self-motivated, results-oriented and quick to take action, while also open to new insights. You recognize when youaposre wrong and move past your own mistakes You enjoy staying ahead of with technology and continually strive to be better at your craft Understanding the differences between NoSQL and relational data access patterns Experience with KafkaKinesis and streaming pipelines, PrestoAthena, S3 object storage, Cloud Architecture and Deep Spark understanding Comcast is an EOEVeteransDisabledLGBT employer

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