Description:

Aluxion is seeking a seasoned Data Warehouse Engineer with deep expertise in AWS-based analytics infrastructure.
The role involves designing, building, and optimizing a robust data platform that supports critical business insights and scalable operations.
The engineer will take full ownership of the analytics stack, working daily with Amazon Redshift for advanced data modeling and performance tuning.
Responsibilities include orchestrating ETL/ELT workflows using Apache Airflow and building clear, actionable dashboards in Amazon QuickSight.
The position also requires working with DynamoDB, EventBridge, and S3 for auxiliary data flows and event-driven triggers.
This is a 100% remote job, full-time, and long-term.

Requirements:

Candidates must have 4+ years of experience working in cloud-based DWH environments, preferably AWS.
Expert-level proficiency in SQL and Python is required.
Hands-on experience with Amazon Redshift, Apache Airflow, Amazon QuickSight, S3, DynamoDB, and EventBridge is essential.
A deep understanding of data modeling, data warehousing principles, and performance optimization is necessary.
Familiarity with CI/CD pipelines and infrastructure as code practices is expected.
A proactive mindset with a focus on data integrity, cost control, and resilient operations is important.
Excellent communication skills and a collaborative, ownership-driven attitude are required.

The position offers the flexibility of a 100% remote work environment.
It is a full-time role, providing stability and long-term employment opportunities.
Employees will have the chance to work with cutting-edge technologies in a dynamic and innovative company.