Senior Data Engineer (AWS)

Datamatics Technologies•Gothenburg, NE

19h

About The Position

We are seeking highly skilled and innovative Senior Data Engineers (AWS) to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments. This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams.

Requirements

Strong experience with AWS ecosystem, including:
AWS Glue
Amazon S3
AWS Lambda
Amazon Redshift / RDS
Hands-on expertise in DBT (Data Build Tool) for data transformation.
Solid understanding of data pipeline architecture and ETL/ELT processes.
Experience working with Orion framework and handling configuration-driven workflows.
Good understanding of networking concepts within AWS environments (VPC, subnets, security groups).
Proficiency in SQL and Python for data processing.
Experience with version control systems (Git).
Familiarity with CI/CD pipelines for data workflows.

Nice To Haves

Experience in retail or supply chain data environments.
Exposure to real-time data processing and streaming frameworks.
Knowledge of data lake and lakehouse architectures.
AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect).

Responsibilities

Design, develop, and maintain scalable data pipelines using AWS services.
Build and optimize ETL/ELT processes using AWS Glue and DBT (Data Build Tool).
Manage and configure data workflows and orchestration within the Orion framework.
Develop and maintain configuration files and ensure seamless integration across systems.
Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.
Optimize data processing performance and ensure data quality and reliability.
Work on data modeling, transformation, and warehousing solutions.
Implement best practices for data governance, security, and compliance.
Troubleshoot and resolve data-related issues across pipelines and infrastructure.
Contribute to continuous improvement and innovation in data engineering practices.