Data Engineer II, Supply Chain Analytics

Amazon; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Amazon AWS AIS is seeking a Back End Data Engineer to design, develop, test, and deploy Supply Chain applications and automation. You will work with BI engineers and data scientists to build APIs and UI components that enable scalable data solutions in the cloud.

Responsibilities include creating end-to-end automation, optimizing data pipelines, and delivering insights for procurement and operations. Collaboration with global teams and a strong focus on scalable, reliable systems is required.

Qualifications

• 5+ years of data engineering experience.
• 5+ years of SQL experience.
• 3+ years building and operating large-scale BI data pipelines (ETL/ELT).
• Experience in at least one modern programming language (Python/Java/Scala/NodeJS).
• Preferred: hands-on with AWS data services like Redshift, S3, Glue, EMR, Kinesis, Lambda.

Responsibilities

• Identify automation opportunities to drive measurable business outcomes across supply chain and procurement.
• Collaborate with global stakeholders, data engineers, and data scientists to gather requirements.
• Design and implement scalable data pipelines and analytical tools for BI analytics.
• Oversee production operations and optimize data delivery and deployments.
• Read, write, and debug SQL/Python data processing code with version control and peer review.

Skills

5+ years of data engineering

5+ years of SQL

ETL/ELT for BI analytics

Python/Java/Scala/NodeJS

AWS technologies

Tools

AWS services

Job description

Description

AWS Infrastructure Services (AIS)

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

AIS is seeking a highly motivated and passionate Back End Data Engineer who is responsible for designing, developing, testing, and deploying Supply Chain Application and Process Automation. In this role you will collaborate with business leaders, work backwards from customers, identify problems, propose innovative solutions, relentlessly raise standards, and have a positive impact on AWS Infrastructure Supply Chain & Procurement. In this, you will work closely with a team of Business Intelligence Engineers and Data Scientists to architect the application programming interface (API) and user Interface (UI) in context with the business outcomes. You will be using the best of available tools, including EC2, Lambda, DynamoDB, and Elastic Search. You will be responsible for the full software development life cycle to build scalable application and deploy in AWS Cloud.

Key job responsibilities

• Understand the broad range of organizational data resources and business processes to identify automation opportunities that drive measurable business outcomes.
• Interface with global stakeholders, data engineers, and data scientists across time zones to gather requirements by asking the right questions, analyzing data, and drawing conclusions through validated assumptions.
• Produce written recommendations and insights for key stakeholders to shape solution design and influence strategic decision-making.
• Conduct deep-dive analyses of business problems and formulate data-driven conclusions and recommendations to deliver comprehensive end-to-end automation solutions.
• Design, develop, and maintain scalable and reliable analytical tools, and automated pipelines that drive key business decisions across supply chain, procurement, and operational domains.
• Enhance analytical maturity by incorporating predictive and prescriptive analytics using machine learning and optimization techniques where appropriate.
• Design and develop pipelines required for optimal extraction, transformation, and loading of data from diverse sources using SQL, Python, and AWS big data technologies.
• Oversee and continually improve production operations, including optimizing data delivery, redesigning infrastructure for greater scalability, managing code deployments, resolving bugs, and coordinating overall release management.
• Establish and maintain best practices for design, development, and support of data integration solutions, including comprehensive documentation.
• Work closely with product teams, software developers to explore new data sources and deliver actionable data solutions.
• Read, write, and debug data processing and orchestration code in SQL/Python following best coding standards (version controlled, code reviewed, peer validated).
• Handle multiple projects simultaneously, effectively manage ambiguity, and adapt to rapidly changing priorities while maintaining delivery excellence.

About the team

About AWS

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic Qualifications

• 5+ years of data engineering experience
• 5+ years of SQL experience
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

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.