Data Engineer, Amazon Ads Sales Analytics (DIGI)

Amazon is hiring a Data Engineer, Amazon Ads Sales Analytics (DIGI) in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Works on AI ●●●○ is how Level rates this data engineer role: the daily work is on AI products, without building the model.
The posting mentions AWS, SQL and data engineering 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

Data Engineer needed to build data infrastructure, pipelines, and GenAI-ready data layers for Amazon Ad Sales Finance analytics.

AWSSQL

data-engineeringetldata-modelingdata-warehousinggenai

Amazon is looking for a motivated individual with strong database, analytical skills and technology experience to join the DIGI (Ad Sales Finance analytics ) team. In this position the successful candidate will be responsible for partnering with Finance and Business leaders to expand and optimize data infrastructure that supports weekly, monthly, quarterly and annual for the Display Ads Finance group and our stakeholders

Key job responsibilities
- Owning the design, operations and improvements for the Organizations Datawarehouse infrastructure
- Maintain, improve and manage all ETL pipelines and clusters
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
- Define metrics and KPIs to measure success of strategic initiatives and report on their progress
- Develop relationships and processes with finance, sales, business operations, solution delivery team, partner, BD, and other cross-functional stakeholders
- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
- Collaborate with data scientists, BIEs and BAs to deliver high quality data architecture and pipelines.
- Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns.

A day in the life

In this position the successful candidate will be responsible for partnering with Finance and Business leaders to expand and optimize data infrastructure that supports weekly, monthly, quarterly and annual for the Display Ads Finance group and our stakeholders. They will work on building GenAI capabilities and GenAI-ready data layer for automating insights generation and solving analytical problems across the Ad Sales FInance org.

About the team
The Advertising Sales Finance Analytics & FP&A team's responsibilities comprise of corporate reporting, planning, Headcount & OpEx, Goals reporting, and ad-hoc analysis. We support Advertising leaders and finance teams by coordinating and consolidating deliverables, centralizing and standardizing processes, establishing financial controls and mechanisms, building tools that improve the speed of decision making, and providing insightful financial analysis on the short and long term strategy of Advertising.

Basic qualifications

- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines

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)

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, Amazon Ads Sales Analytics (DIGI) at Amazon rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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, Amazon Ads Sales Analytics (DIGI) is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN, KA, Bengaluru.
The job was posted on July 7, 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 EngineeringETLData ModelingData WarehousingGenAIAWSSQL

Also common in data engineer jobs at this level

Python Spark Machine learning Databricks Azure Airflow

Pay

Typical data engineer job: $146k

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 etl was part of your work. What did you do?
Tell me about a project where data modeling 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 genai was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Engineering, ETL, Data Modeling, Data Warehousing, and GenAI. 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.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker