Data Engineer, Translation Services Data Analytics (TSDA)
Amazon
5 - 10 years
Hyderabad
Posted: 3/21/2025
Job 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'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
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’re applying in isn’t listed, please contact your Recruiting Partner.
About Company
Amazon is a multinational technology and e-commerce company founded by Jeff Bezos in 1994. Initially focused on selling books online, it quickly expanded into a broad range of products and services, including electronics, cloud computing (via Amazon Web Services), streaming, and artificial intelligence. Amazon has revolutionized online shopping with fast delivery, personalized recommendations, and a subscription service called Amazon Prime. It is one of the world's largest and most valuable companies, with a significant impact on retail, technology, and logistics.
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