Data Engineer, Translation Services Data Analytics (TSDA)

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's 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'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re 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
  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's degree
  
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  Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  
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