Staff Data Engineer (Personalization)
Disney ABC Television Group
Do you believe that television of the future heavily relies on data? Are you passionate about building predictive applications and solving critical business problems? Do you enjoy the whole data lifecycle from ideation, data exploration, model building, results communication, all the way to productizing?
The Staff Data Engineer - Personalization will work with a geographically dispersed team of engineers, product managers, program managers, and systems engineers on building a data platform to support for television of the future. You will have opportunities to work on problems and datasets to apply a wide variety of algorithms: anomaly detection, time series forecasting, pattern recognition, natural language processing, and guest segmentation. Wearing multiple hats is a daily occurrence (think architect, design, code, visualize) to meet commitments to deliver brand new data platform for DATG Digital Media.
Responsibilities
You will…
- Build cool things – we are operating in green fields of television and technology, so your work will have substantial impact on the data platform, services we create, and our digital products
- Work with awesome people - Work within larger group of other teams in Digital Media to deliver impactful data solutions
- Be a lead – drive design and execution of data projects as well as guide and mentor junior team members on technology, analytical, and business tasks
- Be an architect – design and create robust systems to support operational excellence, multivariate testing, and personalization
Basic Qualifications
You should have …
- Mastery in at least one high-level programming language such as Python, Java, or Scala (7+ years)
- Experience with big data tools such as Hadoop/YARN, Spark, Kafka, Hive, Streaming
- Mastery in SQL and experience in relational, analytical and in-memory database design (7+ years)
- Solid experience in designing and executing data platform solutions from inception to support phases
- Familiarity with stats/machine learning algorithms, such as SVM, logistic regression, boosting, ARIMA, clustering, LDA, deep learning, etc.
- Working knowledge with cloud platforms such as AWS, Google Cloud, Azure
- Solid experience in designing and executing real-time and batch data pipelines from inception to support phases
- Experience leading the design and implementation of data quality frameworks
- Experience working in a team environment using Agile methodologies
- Enjoys new and meaningful technology or business challenges which require you to think and respond quickly
- Passionate about data, technology, and challenging the status quo
- Excellent written and verbal communication skills
- Strong troubleshooting and problem solving skills in large data environment
- Strong desire to be a mentor and provide guidance for junior team members
Preferred Qualifications
You may have…
- Experience with Apache Kafka, AWS Kinesis, or Google Pub/Sub
- Experience with HBase, Cassandra
Required Education
- BS or MS degree in the fields of Engineering, Computer Science, Applied Math, Statistics, Operations Research, Economics, or other quantitative fields
Full Time