Solution Architect (Focus on Data Analytics and AWS Infrastructure)

We are looking for an experienced Data Engineer to design and implement scalable data integration and analytics solutions. The ideal candidate will have strong expertise in AWS cloud services, modern ETL tools, and data transformation frameworks, with a proven ability to align technical solutions with business needs.

Key Responsibilities

• Design and develop data integration and analytics solutions using AWS services (e.g., Redshift, S3, Glue, Lambda).

• Build and maintain ETL pipelines with tools such as dbt and Matillion to support efficient data transformation.

• Select, configure, and integrate AWS services, data curation tools, and data platforms based on business requirements.

• Ensure data architectures are scalable, secure, and reliable, following industry best practices.

• Collaborate with cross-functional teams to deliver solutions that meet business analytics and reporting needs.

• Contribute to Agile/Scrum processes, including sprint planning, backlog refinement, and daily stand-ups.

Qualifications

• Strong hands-on experience with AWS cloud data services.

• Proficiency in ETL pipeline development with dbt, Matillion, or similar tools.

• Solid understanding of data modeling, transformation, and integration best practices.

• Familiarity with Databricks for large-scale data processing and analytics.

• Experience working in Agile/Scrum environments.

• Strong problem-solving and communication skills.