Data Engineer II, International Seller Growth

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

Job summary

Amazon's International Seller Services Central Analytics Team is seeking a data engineer to build scalable ETL pipelines and robust data models for a GenAI-ready data layer.

You will design architectures, construct logical/physical data models, and implement end-to-end ETL pipelines using AWS tools like Lambda, Redshift, S3, DynamoDB, Glue, and Hive. Collaboration with analysts will drive data-driven seller insights globally.

Qualifications

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

Responsibilities

• Construct ETL pipelines using Redshift and Spark SQL.
• Create and manage datasets in DynamoDB, S3, and Redshift.
• Develop ETL workflows with AWS Glue.
• Orchestrate step functions via Python/Scala.
• Enforce data quality standards, governance, validation, cleansing, and lineage.
• Monitor and optimize data pipelines to reduce latency.
• Collaborate with data analysts to enable data-driven decisions and visuals.

Skills

Data engineering

SQL

ETL pipelines

Python

Scala

Data modeling

Data governance

Data quality

Education

Bachelor's degree

Tools

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Lambda

DynamoDB

Hive

Datanet

Job description

Join Us in the International Seller Services Central Analytics Team !!

We are a dedicated group of Engineers within the Seller Services organization at Amazon. Our mission is to deliver data-driven analytical solutions that empower sellers to thrive on Amazon's global platform. We specialize in constructing and maintaining intricate data pipelines that facilitate the seamless integration of data into Amazon's internal tools and teams.

We are currently in search of a brilliant, self-driven, and seasoned Data Engineer/Developer to join our team. In this role, you will have the opportunity to work on building scalable solutions, including extensive data models and complex ETL pipelines that serve our GenAI ready data layer.

You will be immersed in a substantial business challenge, tasked with creating architecture, designing documents, constructing logical and physical data models, and building intricate ETL pipelines. All of this will be accomplished using a suite of AWS tools such as Lambda, Redshift, S3, DynamoDB, Glue, and Hive. Additionally, you will be an integral part of a team dedicated to supporting the ISS organization in maintaining and facilitating easy access to our definitive source of metric data.

Key job responsibilities

• Construct intricate ETL pipelines utilizing Datanet (Redshift) and Craddle (Spark Sql ).
• Create and manage datasets within AWS Dynamo DB, AWS S3, and Amazon Redshift.
• Develop complex ETL workflows employing AWS Glue.
• Orchestrate step functions through Python / Scala.
• Implement and enforce rigorous data quality standards and data governance policies, ensuring data accuracy, consistency, and security. Establish procedures for data validation, cleansing, and lineage tracking.
• Continuously monitor and optimize data pipelines and processes to enhance performance and efficiency. Identify bottlenecks and implement enhancements to expedite data processing and minimize latency.
• Collaborate closely with data analysts and visualization experts to facilitate data-driven decision-making. This includes designing and maintaining data reporting and visualization solutions.
• Demonstrate profound expertise in AWS data services, including Amazon S3, Glue, EMR, Redshift, Athena, and more. Select the most appropriate services for specific data engineering tasks and leverage their capabilities effectively.
• Develop and maintain mission-critical applications extensively used by sellers worldwide.
• Have good knowledge on scripting using either Python or Scala

Basic Qualifications

• 3+ years of data engineering experience
• 4+ years of SQL experience
• Experience with data modeling, warehousing and building ETL pipelines
• Bachelor's degree

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)

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