Data Engineer II, Infra-Finance Business intelligence & Transformations

Amazon is hiring a Data Engineer II, Infra-Finance Business intelligence & Transformations in Hyderabad, India. Level rates it ; you can apply on Level.

AI in this role

Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing? Are you passionate about data and code? Does the prospect of dealing with massive volumes of data excite you? Do you want to build data engineering solutions that process millions of records?

Amazon Web Services is looking for a Data Engineer to help build a scalable, secured and robust data infrastructure that supports the AWS supply chain Finance (SCF) organization. You will be part of the SCF Analytics team working with other Data Engineers, Business Intelligence engineers, Product managers and partner with finance/business stakeholders to achieve our goals.

Key job responsibilities
• Design, implement, and support large-scale data pipelines and ETL processes using AWS technologies
• Lead and design complex data architectures, ensuring scalability, security, and alignment with business objectives.
• Build and maintain efficient, scalable data pipelines and curated datasets optimized for AI consumption and self service analytics.
• Identify and resolve system-wide data challenges, including performance bottlenecks and architectural deficiencies.
• Tune application and query performance using profiling tools and SQL.
• Analyze and solve problems at their root, stepping back to understand the broader context.
• Keep up to date with advances in data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.
• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.
• Recognize and adopt best practices: data integrity, test design, analysis, validation, and documentation.
• Ensure data solutions are auditable, accessible, and maintainable across the organization
• Collaborate with cross-functional teams to deliver innovative data solutions

About the team
IFBIT team vision is to simplify and automate processes, drive data-led decision making and provide meaningful insights for enhanced financial and business performance. We aim to cultivate a culture of innovation and collaboration, build and evangelize data analytics capabilities, develop scalable products that reduce manual efforts, improve efficiency and enhance controllership. By doing this, we contribute to improving AWS financial performance in a sustainable manner. Our focus on scalability, agility, and customer-centric products also aligns with the goal of maximizing long-term value for our customers and the company.

Basic qualifications

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- 5+ years of SQL experience
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Bachelor's degree or foreign equivalent in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

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
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

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, Infra-Finance Business intelligence & Transformations at Amazon rates 65 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. Open the description and count.

Key facts

Data Engineer II, Infra-Finance Business intelligence & Transformations is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN, TS, Hyderabad.
The job was posted on October 13, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

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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

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