Data Engineer, MIDAS, Digital Acceleration

Amazon; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Amazon MIDAS is seeking a Data Engineer to design and deliver advanced analytics across orders, subscriptions, discovery, promotions, pricing and royalties. You will build foundational datasets and data pipelines using AWS services and internal tools, enabling data-driven decision making for digital products.

The role emphasizes collaboration with software engineers, BI engineers, MLEs, scientists and product managers to scale data infrastructure, ensure data quality and comply with governance,

Qualifications

• 1+ years of data engineering experience.
• Experience with SQL.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with one or more query languages (e.g., SQL, PL/SQL, HiveQL, SparkSQL).
• Experience with scripting languages (e.g., Python).

Responsibilities

• Develop data products, infrastructure and data pipelines leveraging AWS services (Redshift, Kinesis, EMR, Lambda) and internal tools.
• Improve existing solutions to enhance scale, quality and data availability.
• Collaborate with software engineers, BI engineers, MLEs, scientists, and product managers to build scalable pipelines for structured and unstructured data.
• Drive operational excellence and build automation to reduce manual operations.

Skills

SQL

ETL pipelines

Data modeling

AWS

Data warehousing

Spark

Tools

Redshift

Kinesis

EMR

Lambda

Datanet

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

• 1+ years of data engineering experience


• Experience with SQL


• Experience with data modeling, warehousing and building ETL pipelines


• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)


• Experience with one or more scripting language (e.g., Python, KornShell)

Preferred Qualifications

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR


• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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