Job Location: Seattle, WA
- 5+ years of experience as a Data Engineer or in a similar role
- Experience managing a data or BI team
- Experience with data modeling, data warehousing, and building ETL pipelines
- Experience leading and influencing the data strategy of your team or organization
- Experience in SQL
- Bachelor’s degree in computer science, engineering, mathematics, statistics, or a related technical discipline
- Demonstrated proficiency in at least one scripting language (e.g. Python, R)
- Experience in machine-learning and statistical modeling tools and techniques
Job summary
Do you love leveraging the power of big data to improve the lives of your customers? Do you have a passion for movies and TV? If so, IMDb is the place for you! With over 200 million monthly users, IMDb is the world’s most trusted source for movies, TV, and celebrities. We sit at the unique intersection of entertainment, media, and technology, inside the world’s most innovative and customer-centric company – Amazon.com. The data and insights our team provides powers all IMDb properties and feeds directly into the Amazon flywheel. IMDb employees enjoy the best of both worlds, all the benefits and resources of Amazon with the autonomy and impact of a small, nimble team.
We are looking for an experienced, highly skilled manager to lead our Data Engineering & Data Science team. You and your team of data engineers and data scientists will own the design, implementation, and successful delivery of large-scale, complex data solutions powering all IMDb business understanding and insights. You will then leverage those data solutions to build predictive models, optimization algorithms, and customer behavioral segments, which feed directly into our growing set of personalization efforts, used by millions of customers daily. You will both own IMDb’s core business analytics infrastructure and the ability to directly leverage those systems to make our customers lives better through investments in machine learning, A/B testing, customer segmentation, and distributed big data technologies. You will work collaboratively with our business intelligence, software development, and product teams to define the right system architecture to bring data and science to the forefront of all business understanding.
The ideal candidate has a strong data engineering background with a propensity towards data science, partners effectively with others, earns trust through performance, and is passionate about people management, mentorship, and career development. Your leadership is both tactical and strategic in how you lead the team to invent, evolve, and/or deprecate data solutions. You have an eye for where to simplify, optimize, or extend solutions for the best outcomes. You mitigate long-term risks and are effective in finding a path forward in difficult situations.
- Master’s degree in computer science, engineering, mathematics, statistics, or a related technical discipline
- 5+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets
- Hands on experience using AWS big data technologies (Redshift/Spectrum, Athena, Glue, S3, EMR, Spark, Kinesis, SageMaker, Airflow)
- Knowledge and practical experience in several of the following areas: machine learning, recommendation systems, deep learning, natural language processing (NLP), statistics, and information retrieval
- Ability to think critically, question assumptions, and devise solutions to challenging technical problems
- Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering/science strategy
- Passionate about the entertainment industry
Amazon is committed to a diverse and inclusive workplace. Amazon 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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