Job description
· 2+ experience years leading engineering teams · 5+ years experience in data engineering working with petabyte scale data · 5+ years of industry experience in data engineering, with a track record of manipulating, processing, and extracting value from large datasets
Job summary
Data Engineer
Amazon is all-in on games. We are a new and energetic team building the BI systems for our games.
Our mission is to be the most customer-obsessed company in the industry.
We’re looking for an experienced Data Engineer to help us architect and build a centralized data system that integrate with multiple data sources (game data, Twitch, retail, marketing). As a data engineering manager you will manage a team and develop scalable and innovative solutions to process terabytes of data and enable us effectively operate our business.
If you’d like to come join us, here’s some things that are essential to success in this role:
Key responsibilities include:
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.
Data Engineer
Amazon is all-in on games. We are a new and energetic team building the BI systems for our games.
Our mission is to be the most customer-obsessed company in the industry.
We’re looking for an experienced Data Engineer to help us architect and build a centralized data system that integrate with multiple data sources (game data, Twitch, retail, marketing). As a data engineering manager you will manage a team and develop scalable and innovative solutions to process terabytes of data and enable us effectively operate our business.
If you’d like to come join us, here’s some things that are essential to success in this role:
- Have a penchant for digging deep and attacking difficult and complex problems.
- Be a self-starter who is able to work alone or as a member of a team.
- Excellent oral and written communication skills as well as strong analytical and problem-solving skills.
- Ability to work on multiple concurrent projects and interface with all levels within the organization.
Key responsibilities include:
- Managing a team of data engineers
- Architect scalable data pipelines that handle millions of events per second in a cost-effective manner using AWS technologies including Airflow, Spark, EMR, Glue, Kinesis, Redshift/Spectrum and Athena.
- Create automated ingestion, processing, cleaning and aggregation of large data sets
- Design user access controls that allows partial and complete data access to large and diverse groups of users
- Work closely with game teams, Twitch, finance and marketing to build data solutions.
- Help continually improve ongoing reporting and analysis processes
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.
· Proficiency in SQL and Python · Experience with columnar data systems · Experience with game telemetry or live operations of a product · Demonstrated strength in data modeling, ETL development, and data warehousing · Experience using big data technologies (Airflow, EMR, Columnar Data Warehouses, Spark etc.) · Knowledge of data management fundamentals and data storage principles · Knowledge of distributed systems as it pertains to data storage and computing · Experience working with AWS big data technologies (Redshift, S3, EMR) · Experience with Airflow or other similar ETL tools · Experience providing technical leadership and mentoring other engineers for best practices on data engineering · Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy · Familiarity with statistical models and data mining algorithms · Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations · Meets/exceeds Amazon’s leadership principles requirements for this role. · Meets/exceeds Amazon’s functional/technical depth and complexity for this role. 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. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
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