Senior Data Engineer
Skills
Amazon RedshiftBusiness IntelligenceData AnalyticsData WarehousingDatabasesElasticsearchEmerging Technologies
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Experience building and supporting end-to-end ETL/ELT pipelines
- Strong data engineering experience within AWS cloud environments
- Experience with modern data integration platforms such as Matillion or similar ETL tools
- Experience working with SQL and cloud data warehouses Amazon Redshift preferred
- Familiarity with Agile development methodologies and Jira
- Experience using Git/GitHub for source control
- Strong communication and collaboration skills
- Adaptable mindset with willingness to learn new technologies
Nice to have
- Hands-on
- Collaborative
- Adaptable
- Curious
- Flexible
- Open-minded
Day to day
- Design, develop, and maintain end-to-end ETL/ELT data pipelines that power analytics and AI initiatives.
- Build and enhance scalable data integrations using AWS-based platforms and modern data engineering practices.
- Collaborate closely with data engineers BI developers and business stakeholders to deliver high-quality data solutions and modernize legacy processes.