Data Engineer, Translation Services Data Analytics (TSDA)

This job is with Amazon, an inclusive employer and a member of myGwork the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Description
Translation Services Data and Analytics seeks a passionate Data Engineer to drive innovations in translation analytics space to create the data pipelines handling large volume data and help our customer&aposs to analyze and understand Amazon Translation coverage across the languages.We support Translation Services in making data-driven decisions by providing easy access to data and self-serve analytics. We work closely with internal stakeholders and cross-functional teams to solve business problems through data by building data pipelines, develop automated reporting and dive deep into data to identify actionable root cause.
Key job responsibilities

• Work closely with data scientists and business intelligence engineers to create robust data architectures and pipelines.
• Develop and manage scalable, automated, and fault-tolerant data solutions.
• Simplify and enhance the accessibility, clarity, and usability of large or complex datasets through the development of advanced ETL, BI dashboards and applications.
• Take ownership of the design, creation, and upkeep of metrics, reports, analyses, and dashboards to inform key business decisions.

• Navigate ambiguous environments by evaluating various options using both data-driven insights and business expertise.
  

A day in the life
Data Engineers focus on managing customer requests, maintaining operational excellence, and enhancing core data analytics infrastructure. You will be collaborating closely with both technical and non-technical teams to design and execute roadmaps for essential Translation Services metrics.
If you are not sure that every qualification on the list above describes you exactly, we&aposd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you&aposre passionate about this role and want to make an impact on a global scale, please apply!
Basic Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
  

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Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Bachelor&aposs degree
  

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&aposre applying in isn&apost listed, please contact your Recruiting Partner.