Salary not listedPosted 1h ago
Real job — pulled straight from Amazon’s careers page · Verified August 26, 2026 · No reposts.
Job description
Amazon is hiring a Data Engineer — a full-time, based in Bengaluru, Karnataka role. Apply directly on Amazon's careers page below.
- 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Bachelor's degree
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
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.
In this role, you will lead Data Engineering efforts to drive automation for Amazon Pay organization.
You will be part of the data engineering team that will envision, build and deliver high-performance, and fault-tolerant data pipeliens. As a Data Engineer, you will be working with cross-functional partners from Science, Product, SDEs, Operations and leadership to translate raw data into actionable insights for stakeholders, empowering them to make data-driven decisions.
Key job responsibilities
· Design, implement, and support a platform providing ad-hoc access to large data sets
· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
· Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies
· Model data and metadata for ad-hoc and pre-built reporting
· Interface with business customers, gathering requirements and delivering complete reporting solutions
· Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark.
· Build and deliver high quality data sets to support business analyst, data scientists, and customer reporting needs.
· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Bachelor's degree
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
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.
In this role, you will lead Data Engineering efforts to drive automation for Amazon Pay organization.
You will be part of the data engineering team that will envision, build and deliver high-performance, and fault-tolerant data pipeliens. As a Data Engineer, you will be working with cross-functional partners from Science, Product, SDEs, Operations and leadership to translate raw data into actionable insights for stakeholders, empowering them to make data-driven decisions.
Key job responsibilities
· Design, implement, and support a platform providing ad-hoc access to large data sets
· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
· Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies
· Model data and metadata for ad-hoc and pre-built reporting
· Interface with business customers, gathering requirements and delivering complete reporting solutions
· Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark.
· Build and deliver high quality data sets to support business analyst, data scientists, and customer reporting needs.
· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
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Frequently asked questions
What skills are required for Data Engineer at Amazon?
The required skills for Data Engineer at Amazon include: SQL, ETL, PL/SQL, Scala, Python, Spark, Redshift.
What is the seniority level for Data Engineer at Amazon?
Data Engineer at Amazon is a Entry level position.
How do I apply for Data Engineer at Amazon?
You can view the full description and apply for Data Engineer at Amazon on EchoJobs: https://echojobs.io/job/amazon-data-engineer-i-amazon-external-payments-j26a2.