Overview
Analytics Engineer responsible for designing and maintaining cloud data pipelines, data models, and data warehouse/lake solutions to enable reporting and analytics.
What you'll do
- Design, develop, and maintain low-code enabled data pipelines to collect, transform, and load data.
- Build and maintain data warehousing and data lake solutions for reporting and insights.
- Develop and deploy data models for business requirements and efficient data analysis.
- Lead data solution design with a focus on automation, performance, and quick report generation.
- Ensure data quality and availability for business and analytics consumption.
- Collaborate with cross-functional stakeholders to understand data requirements and drive data-driven initiatives.
What you'll need
- Extensive experience leading AWS and cloud data platform transformations.
- Proven track record delivering large-scale data and analytical solutions in the cloud.
- Hands-on experience implementing end-to-end AWS data pipelines (ETL, normalization, aggregation, warehousing, data lakes, governance).
- Expertise in data warehouses and understanding of Data Lake, Data Warehouse, Lakehouse, and Data Mesh.
- Experience with CI/CD-driven data pipelines and infrastructure using Agile (Scrum/Kanban).
- Ability to scope, estimate, and deliver committed work within deadlines in an Agile team.
Details
Read the full description and apply on the company’s own careers page.