Data Engineer, MIDAS, Digital Acceleration

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

Job summary

Amazon MIDAS is seeking a data engineer to design and deliver advanced analytics that influence product decisions across digital businesses. You will build foundational datasets spanning orders, subscriptions, discovery, promotions, pricing and royalties, and collaborate with diverse teams to scale data pipelines on AWS.

The role requires strong data modeling, ETL, warehousing and Big Data skills, with emphasis on reliability, governance and communication.

Qualifications

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

Responsibilities

• Develop data products, infrastructure and data pipelines leveraging AWS services (Redshift, Kinesis, EMR, Lambda) and internal tools (Datanet, Cradle, QuickSight).
• Improve existing solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.
• Partner with software engineers, BI engineers, ML engineers, scientists and product managers to develop scalable data pipelines for structured and unstructured data.
• Drive operational excellence and build automation to reduce manual operations.

Skills

Data engineering

SQL

ETL pipelines

Data modeling

Tools

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Kinesis

Firehose

AWS Lambda

IAM roles and permissions

Datanet

Cradle

QuickSight

Job description

Data Engineer, MIDAS, Digital Acceleration

Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?

The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled data engineer to join our team. In this role, you will play a critical part in developing foundational analytical datasets spanning orders, subscriptions, discovery, promotions, pricing and royalties. Our mission is to enable digital clients to easily innovate with data on behalf of customers and make product and customer decisions faster.

An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.

Key job responsibilities

1. Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.
2. Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.
3. Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
4. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations

About the team

The MIDAS team operates within Amazon's Digital Analytics (DA) engineering organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. Today, more than 100 Amazon business and technology teams rely on MIDAS, with over 20,000 monthly active users leveraging our mission-critical tools to drive data-driven decisions at Amazon scale.

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.