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Amazon Game Studios

Data Engineer, Amazon Games Growth

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Amazon Game Studios
๐Ÿ‡บ๐Ÿ‡ธ Seattle, WA

Job summary

Amazon is all in on games. We believe the evolution that began with arcade communities a quarter at a time, growing to the live streams and eSports of today, will continue to a future where everyone is a gamer and every gamer can create, compete, collaborate and connect with others at massive scales. If you share our belief that games will produce some of the futureโ€™s most influential voices in media and art, come join us!

At Amazon Games youโ€™ll have the power of Amazon Web Servicesโ€™ cloud, Twitch, Amazon Lumberyard, and our digital and physical media publishing infrastructure available as raw material to forge a future filled with amazing experiences for players and developers.

We seek a Sr. Data Engineer with a strong track record of taking on end-to-end ownership and delivering scalable solutions to enable our BI team and partners in a fast-paced and dynamic business environment! This person will be a creative problem solver who is obsessed with customers plus resourceful, collaborative, and insightful with the ability to work independently under time constraints to meet deadlines.

In this role, you will have ownership of end-to-end development of data engineering solutions and build a data platform that not only caters to Business Intelligence and Reporting but also extends to machine learning applications.

Key job responsibilities

  • Design, develop and maintain the GG data warehouse, automate manual processes, optimize data delivery for reporting and re-design infrastructure for greater scalability.
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
  • Manage data permissions, access roles and security to keep GG data secure across Amazon and Twitch.
  • Collaborate with BI engineers, software developers, product managers, and financial analysts to assist with data-related technical issues, migrations, upgrades and infrastructure needs.
  • Maintain and support Redshift Cluster and Schemas, ETL jobs and tables used for daily, weekly and monthly business eporting.
  • Take ownership of the design and data quality, governance, performance tuning, capacity planning, data availability and operational aspects of the data solutions.
  • Help continually improve ongoing data pipelines and automate or simplify self-service support for customers by building the required master and dimension tables.
  • Collaborate with Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: Data modeling, data integrity, design, analysis, validation, and documentation.

A day in the life

The mission of the Game Growth Intelligence team is to transform data into intelligence, delivering actionable insights at scale for game playing customers. We are a full-stack analytics, data science, and engineering team building machine learning applications to fuel data-driven decisions and enhance the customer experience through fraud prevention, personalization, and experimentation systems.

About the team

Amazon Games applies the principles of Amazonian culture to the world of game design. We have a diverse team of talented, creative people pairing their love of making games with the unique strengths that come with being part of Amazon. Across all of our teams and locations, we are united by a common purpose: to share great gaming experiences with customers around the world. We believe in a future where everyone is a gamer and everyone can create, compete, collaborate and connect through games, and we are looking for the right people to help us build that future. With the power of Twitch and AWS at your fingertips, you will have the chance to innovate in gameplay, creativity, marketing, and technology, while working alongside some of the smartest and most creative minds in the industry.

Inclusive Culture, Work/Life Balance, & Career Growth

We embrace our differences and are committed to furthering our culture of inclusion. We offer ten employee-led affinity groups with 190 global chapters, innovative benefits, and annual and ongoing learning experiences (including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences). Our team also puts a high value on work-life balance and offers flexible working hours. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Additionally, our team is dedicated to supporting you with mentorship and pathways for ongoing development. We have a broad mix of experience levels and tenures, and are building an environment that celebrates knowledge sharing and promotes career choice.

BASIC QUALIFICATIONS

  • 5+ years of experience in implementation and performance tuning MPP databases (Redshift, Snowflake, Teradata, Vertica, etc.)
  • 5+ years of experience with demonstrated strength in ETL/ELT and data modeling
  • 5+ years of experience in writing complex, highly-optimized SQL queries across large data sets
  • 5+ years of experience in a modern coding language like Python, Java, etc.
  • 5+ years of experience with big data processing frameworks (Spark, Hive, etc.)

PREFERRED QUALIFICATIONS

  • Experience working with AWS cloud services (Redshift, S3, Kinesis, Lambda, Glue, etc.)
  • Experience working with external API's
  • Quantitative and qualitative data science experience with demonstrated impact to a business
  • Ability to think critically, question assumptions and devise solutions to challenging technical problems
  • Self-starter, be relentless in execution and fleshing out gaps in expectations

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.