Job Description
Design and develop end-to-end data platforms for large-scale applications, overseeing the entire lifecycle of governed assets across Data Warehouse and Lake house environments.
Create complex data models (Conceptual, Logical, and Physical) for structured and semi-structured data, utilizing Star Schema, Snowflake, and Data Vault methodologies.
Utilize expertise in AWS ecosystems, specializing in serverless and managed services including S3, Redshift, Glue, and Lambda.
Implement scalable ingestion and transformation pipelines, focusing on high-concurrency query performance and cloud cost optimization.
Required Skills and Qualifications
- Expertise in designing and developing large-scale data platforms
- Strong understanding of data modeling techniques, including conceptual, logical, and physical models
- Proficiency in AWS ecosystems, including serverless and managed services
- Experience with big data technologies, such as Hadoop and Spark
Benefits
At our organization, we strive to create a diverse and inclusive environment that allows individuals to grow and thrive. We offer competitive salaries, comprehensive benefits, and opportunities for professional development.
Others
As a member of our team, you will have access to cutting-edge technology, collaborative workspaces, and a dynamic culture that values innovation and creativity.