Senior Data Engineer
Company: Audible
Location: Newark
Posted on: May 14, 2022
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Job Description:
Job summary 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
THIS ROLE This opportunity is within Audible---s Data Engineering
group. The Data Engineering group owns technology platforms and
datasets that enable systems and people to uncover new insights and
fine-tune operations to meet business goals. We need your help
designing and building these. As a Senior Data Engineer, you will
-- 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. BASIC QUALIFICATIONS -- 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 working on data-centric systems using MPP Database
technologies and Hadoop, Spark, Kafka or AWS equivalents. PREFERRED
QUALIFICATIONS -- Understanding of processing and modeling large,
complex data sets for Analytical use cases with Database
technologies such as AWS Redshift, Teradata or equivalent. --
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.
-- Familiarity with AWS cloud technologies such as Elastic Map
Reduce (EMR), Kinesis, Athena. -- Familiarity with BI and
Visualization platforms such as MicroStrategy and AWS Quicksight.
ABOUT AUDIBLE At Audible, we innovate and inspire through the power
of voice. We're changing the narrative on storytelling. As a
leading creator and provider of premium audio storytelling, 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.
Keywords: Audible, Newark , Senior Data Engineer, Engineering , Newark, New Jersey
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