Senior Staff Engineer - Data Engineer

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

• Snowflake on Azure: Develop and optimize data pipelines using Snowflake on Azure, ensuring data consistency and performance.
• Data Modelling: Implement data models, including Data Vault 2.0 methodologies (Dbt - Data Build Tool / Dvb - Data Vault Builder), to ensure scalable and efficient data architectures.
• Data Product Development: Design and build data products such as SQL data pipelines, Tableau/Power BI dashboards, and analytical reports to meet business requirements.
• Scripting & Automation: Use scripting languages like Terraform and Python to automate data workflows and infrastructure management.
• Data Mesh Architecture: Apply knowledge of Data Mesh architecture to help design and implement decentralized data products.
• Performance Tuning: Ensure the efficiency and performance of data products, optimizing data pipelines and models for scalability.
• Collaboration with Business Teams: Work independently with business teams to understand their data needs, translating requirements into actionable data products.

Qualifications

Must have Skills: Snowflake

• 7+ years of experience as a Data Engineer. 
• Experience with Snowflake on Azure.