Data Engineer II, Infra-Finance Business intelligence & Transformations

Amazon Inc.; Hyderabad; On-site; INR 6,392,000 - 9,589,000; Full time

Job summary

Amazon is seeking a Data Engineer II in Madrid to help build scalable data infrastructure for Finance operations. You will work with a cross-functional team of data engineers, BI engineers, product managers, and stakeholders to deliver robust data pipelines and datasets.

The role requires strong SQL, data modeling, and ETL experience, plus proficiency in Python/Java/Scala/NodeJS. A solid foundation in AWS data services is expected to design scalable architectures.

Qualifications

• 5+ years of data engineering experience with large data sets.
• Experience with data modeling, warehousing, and ETL pipelines.
• 5+ years of SQL experience.
• Proficiency in Python, Java, Scala, or NodeJS.
• Bachelor's degree in CS/engineering/analytics or equivalent.

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

Skills

Data modeling

ETL pipelines

SQL

Python/Java/Scala/NodeJS

Big data fundamentals

Education

Bachelor's degree in CS/engineering/analytics or equivalent

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

IAM roles

Job description

Data Engineer II, Infra-Finance Business intelligence & Transformations

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?

AWS 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.

Location

Location: ES, Community of Madrid, Madrid

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.