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Amazon Support Engineer Amazon 
India, Telangana, Hyderabad 
738195070

16.06.2025
DESCRIPTION

We support a fast-paced environment where each day brings new challenges and opportunities. As a Support Engineer, you will play a pivotal role in ensuring the stability, compliance, and operational excellence of our enterprise Data Warehouse (DW) environment. In this role, you will be responsible for monitoring and maintaining production data pipelines, proactively identifying and resolving issues that impact data quality, availability, or timeliness. You’ll collaborate closely with data engineers and cross-functional teams to troubleshoot incidents, implement scalable solutions, and enhance the overall resilience of our data infrastructure. A key aspect of this role involves supporting our data compliance and governance initiatives, ensuring systems align with internal policies and external regulatory standards such as GDPR. You will help enforce access controls, manage data retention policies, and support audit readiness through strong logging and monitoring practices. You’ll also lead efforts to automate manual support processes, improving team efficiency and reducing operational risk. Additionally, you will be responsible for maintaining clear, up-to-date documentation and runbooks for operational procedures and issue resolution, promoting consistency and knowledge sharing across the team. We’re looking for a self-motivated, quick-learning team player with a strong sense of ownership and a ‘can-do’ attitude, someone who thrives in a dynamic, high-impact environment and is eager to make meaningful contributions to our data operations.

BASIC QUALIFICATIONS

- 2+ years of software development, or 2+ years of technical support experience
- Bachelor's degree in engineering or equivalent
- Experience troubleshooting and debugging technical systems
- Experience scripting in modern program languages
- Experience with SQL databases (querying and analyzing)


PREFERRED QUALIFICATIONS

- Good to have experience with AWS technologies stack including Redshift, RDS, S3, EMR or similar solutions build around Hive/Spark etc
- Good to have experience with reporting tools like Tableau, OBIEE or other BI packages.
- Knowledge of software engineering best practices across the development lifecycle is a plus