Sr Data Engineer II

Newark, NJ, United States
PowerToFly approved because…

We believe the spoken word has the power to change people’s lives. Audible has reinvented a media category, becoming a powerhouse of creative and original content. We create sensational entertainment experiences that absorb the listener and enhance the character and quality of daily life. Because nothing can inspire, provoke and challenge like a gripping story – and this could be the beginning of your Audible story.

This opportunity is for a Senior Data Engineer (DE) within Audible’s Data Science group. In this role, you will be a member of an interdisciplinary team of Data Scientists, Data Engineers and Software Development Engineers. This team will be responsible for modeling many business areas such as Customer Engagement, Marketing, Content Management, Recommendations and more.


You have a passion for Big Data and its supporting technologies and platform components. You will be an enabler for cutting edge modeling efforts, passionate about accessing, moving, processing and managing terabytes of data in a performant, scalable, fault-tolerant way, and will display your strong problem-solving ability in different environments.

You will be able to thrive in the powerful, advanced environment that makes Audible such a unique company in the area of data-processing technology, and will be offered a perfect mix of responsibility and mentoring. You will also be exposed to modeling tasks further downstream of the Data Science value creation process.

KEY RESPONSIBILITIES
· Apply business understanding and a technology know-how to cutting edge Data Science problems
· Play a leading role in architecture design and implementation of next generation BI solutions
· Play a leading role in optimally acquiring, crunching, and understanding for Machine Learning (ML) and modeling by Data Scientists
· Effectively communicate with various teams and stakeholders, escalate technical and managerial issues at the right time and resolve conflicts
· Peer review work. Actively mentor more junior members of the team, improving their skills, their knowledge of our systems and their ability to get things done

HOW DOES AMAZON FIT IN?
We're a part of Amazon, they are our parent company and it's a great partnership. You'll get to play with all of Amazon's technologies like EC2, SQS and S3 but it doesn't stop there. Audible is built on Amazon technology and you'll have insight into the inner workings of the world's leading ecommerce experience. There's a LOT to learn!

If you want to own and solve problems, work with a creative dynamic team, fail fast in a supportive environment whilst growing your career and working on a platform that powers web applications used by millions of customers worldwide we want to hear from you.

BASIC QUALIFICATIONS

· Degree in Computer Science, Engineering, Mathematics, Physics, or a related field
· 5+ years of building large scale data-processing systems with experience in Big Data technologies such as MapReduce, Hadoop, AWS EMR, Spark, Kafka, AWS Kinesis or equivalent
· Expertise in Database technologies such as AWS Redshift with proficiency in SQL
· Proficiency in Java, Scala or Python on Linux Platforms
· Proficiency in shell scripting

PREFERRED QUALIFICATIONS

· Experience working with Data Science teams
· Experience with AWS cloud technologies such as Elastic Map Reduce (EMR), Kinesis, Athena
· Experience working with Agile methodologies in a Data Engineering environment
· Strong problem-solving skills with the ability to navigate highly complex and ambiguous situations
· Strong interpersonal skills and the ability to work effectively across teams
· Great communication skills - ability to think creatively and adapt the message to the audience. Can provide information to technical and non-technical stakeholders alike and guide them to confidently informed decisions
· Willingness to learn, be open minded to new ideas and different opinions yet knowing when to stop, analyze, and reach a decision

Mission

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