Senior Data Engineer
- Newark, NJ
Good storytelling starts with great listening. At Audible, that means each role and every project has our audience in mind. Because the same people who design, develop, and deploy our products also happen to use them. To us, that speaks volumes.
ABOUT THE ROLE
Data drives innovation and this senior role is behind the wheel of our Data Engineering group. This foundational role designs and builds the paths to fine-tune Audible's operations and outpace our competitors. Our Data Engineering group owns the datasets and platforms that not only enable our systems but also our people, to uncover new insights. You'll put your experience to work in a start-up culture - all while accessing the tech-forward tools, training, and infrastructure of our parent company, Amazon.
When things get messy, you see the potential for order. Every new dataset is a new opportunity. You thrive off of collaboration and feel energized as part of a driven, innovative team -- but also take pleasure in focusing on problems you can own and solve independently. A fail-fast environment shaped your growth mindset and you're ready to mentor up-and-coming team members. You're motivated by the opportunity to do meaningful work at a truly mission driven company.
• Apply broad knowledge of technology options, technology platforms, design techniques and approaches across the Data Engineering ecosystem to build systems that meet business needs
• Build systems and datasets using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational excellence best practices
• Analyze source systems, define underlying data sources and transformation requirements, design suitable data models and document the design/specifications
• Demonstrate passion for quality and productivity by use of efficient development techniques, standards and guidelines
• Effectively communicate with various teams and stakeholders, escalate technical and managerial issues at the right time and resolve conflicts
• Peer review work. Actively mentor other 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's 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.
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
• 2+ years of non-internship professional software development experience
• A Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Physics, or a related field.
• Proficiency in functional programming languages (e.g. Python) as well as declarative programming languages (e.g. SQL, SPARQL)
• 5+ years of hands on experience in building large scale data-centric systems using MPP Database technologies and Hadoop, Spark, Kafka or AWS equivalents.
• Proficiency in processing and modeling large, complex data sets for Analytical use cases
• Expertise in Database technologies such as AWS Redshift, Teradata or equivalent.
• Familiarity with Business Intelligence (BI) and Visualization platforms such as MicroStrategy and AWS Quicksight.
• Ability to communicate effectively and work independently with little supervision to deliver on time quality products.
• Willingness to learn, be open minded to new ideas and different opinions yet knowing when to stop, analyze, and reach a decision.
• Experience with AWS cloud technologies such as Elastic Map Reduce (EMR), Kinesis, Athena.
• Hands on experience with BI and Visualization platforms such as MicroStrategy and AWS Quicksight.
At Audible, we innovate and inspire through the power of voice. We're changing the narrative on storytelling. As a leading producer and provider of original spoken-word entertainment and audiobooks, we've redefined the ways people access, discover, and share stories. The stories we tell have the ability to transport and transform everyday moments into meaningful experiences and it's our people who make Audible's service possible. We're listeners, storytellers, and problem-solvers. Our perspectives and experiences power our ideas and come together in our mission to unleash the power of the spoken word.
Audible is committed to a diverse and inclusive workplace. Audible is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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