Data Engineer II, TSE Operations Analytics

Amazon is hiring a Data Engineer II, TSE Operations Analytics in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
The posting mentions AWS, EC2 and Rds among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Building scalable data pipelines and architectures to support trust and safety operations analytics at Amazon.

AWSEC2RdsRedshiftKinesisEmrLambdaGlueApache Airflow

data-engineeringsqletldata-warehousingstatistical-analysis

About Amazon
We hire the world's brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers. A Fortune 100 company based in Seattle, Washington, Amazon is the global leader in e-commerce. Amazon offers everything from books and electronics to apparel and diamond jewelry. We operate sites in Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Netherlands, Spain, United Kingdom and United States, and maintain dozens of fulfillment centers around the world. We want you to help share and shape our mission to be Earth's most customer-centric company. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of invention that is part of our DNA. We do this every day by inventing elegant and simple solutions to complex technical and business problems. We're making history and the good news is that we've only just begun.
About the Role
We are looking for a creative, dynamic and motivated Data Engineer to join the Trustworthy Shopping Experience(TSE) Operations team . The mission of this team is to protect Customer trust on Amazon’s stores world wide by using statistical analysis .
The ideal candidate thrives in working with large and complex data warehouse environments and has excellent verbal and written communication skills, is motivated by developing innovative and simplified solutions to solve complex analytical problems using very large data sets. The candidate is passionate about working with large data sets and bringing data together to answer business questions and drive change. These analysis and solutions will be fundamental to finding opportunities and creating new programs aimed at helping arrest abusive / bad actors on amazon platform faster.
He/she will have a unique opportunity to closely partner with senior leaders and product, science, technology and operations teams across the organization driving programs that are critical to protecting our Buyers and genuine Sellers from bad actors. He/she will also play a critical role in influencing and shaping organization's strategy and product roadmap.

Key job responsibilities

- Architecture design and implementation of next generation data pipelines and BI solutions
- Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda, Glue, Apache Airflow etc.
- Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

Basic qualifications

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Knowledge of distributed systems as it pertains to data storage and computing
- Proficiency in at least one modern programming language, whether it's Java, Scala, or Python.

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)
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

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.

How we rate this

Data Engineer II, TSE Operations Analytics at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Engineer II, TSE Operations Analytics is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in IN, KA, Bengaluru.
The job was posted on May 5, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringSQLETLData WarehousingStatistical AnalysisAWSEC2Rds

Also common in data engineer jobs at this level

Spark Azure Databricks Google Cloud Snowflake Machine learning

Pay

Typical data engineer job: $145k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where sql was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where data warehousing was part of your work. What did you do?
Tell me about a project where statistical analysis was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Engineering, SQL, ETL, Data Warehousing, and Statistical Analysis. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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