Data Engineer at Amazon

Short Description:

The Data Engineer role at Amazon Web Services (AWS) involves designing, developing, and deploying analytical solutions for the AWS Infrastructure Supply Chain. As a key member of the team, you will collaborate with business leaders to address real-world engineering challenges, contributing to the success of the world's largest cloud services company. Responsibilities include enhancing Data Warehouse solutions, developing Dimensional Data Models, and implementing effective APIs. The ideal candidate possesses a Bachelor's degree in Computer Science, 4+ years of experience in Data Engineering, proficiency in SQL and NoSQL databases, expertise in Python/R, and familiarity with DevOps tools and Linux environments. Knowledge of AWS Infrastructure and effective communication skills are preferred. Apply now to be part of a dynamic team shaping the future of AWS.

Job Title: Data Engineer

Position ID: 2509729

Location: Banglore, India

About Us:

Amazon Web Services (AWS) is a leading provider of a robust, scalable, and cost-effective cloud platform, serving businesses across more than 190 countries. The AWS Infrastructure Supply Chain (AIS-SC) team is dedicated to delivering innovative solutions for sourcing, building, and maintaining socially responsible data center supply chains. We are a dynamic group of professionals committed to supporting the sustainable infrastructure of AWS, contributing to the success of the world's largest cloud services company.

Role Overview:

Are you passionate about problem-solving and eager to tackle real-world engineering challenges? Do you thrive on learning new concepts and applying them to create elegant solutions? Join our team of motivated professionals as we shape the future of AWS Infrastructure Supply Chain. As a Data Engineer, you will play a key role in designing, developing, testing, and deploying analytical solutions for the supply chain. Collaborate with business leaders, apply innovative problem-solving approaches, and contribute to the ongoing success of AWS.

Responsibilities:

Enhance Data Warehouse/Data Mart solutions by translating business requirements into scalable, robust, and sustainable solutions aligned with the overall system architecture.
Design and develop Dimensional Data Models to support Data Warehouse Architecture.
Develop functional databases, applications, and servers to support back-end operations of websites.
Write effective APIs and perform detailed source-system analysis, source-to-target data analysis, and transformation analysis.
Design and implement data mappings from various source systems to the data warehouse while ensuring source data integrity.
Participate in the complete development cycle for ETL, including design, implementation, validation, documentation, and maintenance.
Evolve the Data Warehouse environment within the organization by enhancing information delivery mechanisms and methodologies.
Contribute to the development of the best technical design and approach for new solution development.

Basic Qualifications:

Bachelor's degree in Computer Science or a related field.
4+ years of professional experience in Data Engineering.
Proficiency in SQL and NoSQL databases (e.g., MySQL, MongoDB, PostgreSQL, DynamoDB), web servers (e.g., Apache, Apache Tomcat).
Expertise in Python/R.
Experience with DevOps tools like Docker, Kubernetes, and application deployment using CI/CD.
Familiarity with distributed version control, such as Git.
Basic knowledge of Linux environments, including shell scripting and standard Linux command line tools.

Preferred Qualifications:

Proficiency in writing and optimizing SQL queries in a business environment with large-scale, complex datasets.
Knowledge of AWS Infrastructure.
Experience in effectively communicating with users, technical teams, and management to gather requirements, describe software product features, and discuss technical designs.

Please click here to apply.

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