Data Engineer

Description

Were seeking an exceptional Data Engineer to join our Risk and Compliance Solutions (RCS) Data Engineering team, where youll architect and build data systems that power Amazons compliance operations. This role combines technical expertise with business acumen to transform complex data into actionable insights that protect Amazons ecosystem of buyers, brands, and sellers.

Your work will directly influence Amazons compliance framework and risk management capabilities, ensuring the companys continued growth while maintaining regulatory compliance. Youll be instrumental in building the next generation of data-driven compliance tools that protect Amazons global marketplace. Your experience with real-time data processing, high-throughput systems, and end-to-end platform development. Knowledge of modern data engineering tools and technologies is essential.

The ideal candidate combines technical excellence with strategic thinking, bringing both the ability to architect complex systems and the vision to drive innovation in compliance technology.

Core Responsibilities

Contribute to the architecture, design and implementation of next generation BI solutions – including streaming data applications.

Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.

Collaborate with data scientists, BIEs and BAs to deliver high quality data architecture and pipelines.

Interface with other technology teams to extract, transform, and load data from a wide variety of data sources

Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

Basic Qualifications

Bachelors degree in computer science, engineering, mathematics, or a related technical discipline

Industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets

Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)

Experience working with AWS big data technologies (EMR, Redshift, S3, AWS Glue, Kinesis and Lambda for Serverless ETL)

Knowledge of data management fundamentals and data storage principles

Knowledge of distributed systems as it pertains to data storage and computing

Hands-on experience and advanced knowledge of SQL

Basic scripting skills using Python and Scala

Basic understanding of Machine Learning

Key job responsibilities

• Design and implement scalable data infrastructure supporting RCSs compliance and risk management initiatives
• Develop robust data pipelines and analytics processes that enable real-time decision making
• Collaborate with compliance officers, software engineers, and product managers to deliver reliable data solutions
• Lead technical initiatives and mentor team members in best practices for data engineering
• Create automated systems to replace manual processes and support Amazons global expansion
  
  

Basic Qualifications

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

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.


Company - ADCI - BLR 14 SEZ

Job ID: A3127622

---