Design, build, and operate enterprise-grade data platforms on Snowflake; develop secure, governed, and cost-efficient data pipelines and models; enable analytics and AI/ML use cases using Snowflake core services and Snowflake Cortex AI; partner with business stakeholders to deliver reliable, high-performance data capabilities.
Requirements
- Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
- 5+ years of relevant experience in data engineering roles
- Detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
- Proficient in at least one or more programming languages: Java, Python, Ruby, Scala
- Experienced with AWS services such as Redshift, S3, EC2, Lambda, Athena, EMR, AWS Glue, Datapipeline
- Exposure to data visualization and reporting with tools such as Amazon QuickSight, Metabase, Tableau, or similar software
- Experience building metrics deck and dashboards for KPIs including the underlying data models
Benefits
- Maternity and paternity leave
- Opportunities to network and connect
- Discounts on products and services
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