Job
Description
We are seeking a Senior Snowflake Developer/Architect will be responsible for designing, developing, and maintaining scalable data solutions that effectively meet the needs of our organization. The role will serve as a primary point of accountability for the technical implementation of the data flows, repositories and data-centric solutions in your area, translating requirements into efficient implementations. The data repositories, data flows and data-centric solutions you create will support a wide range of reporting, analytics, decision support and (Generative) AI solutions. Your Role: Implement and manage data modelling techniques, including OLTP, OLAP, and Data Vault 2.0 methodologies. Write optimized SQL queries for data extraction, transformation, and loading. Utilize Python for advanced data processing, automation tasks, and system integration. Be an advisor with your In-depth knowledge of Snowflake architecture, features, and best practices. Develop and maintain complex data pipelines and ETL processes in Snowflake. Collaborate with data architects, analysts, and stakeholders to design optimal and scalable data solutions. Automate DBT Jobs & build CI/CD pipelines using Azure DevOps for seamless deployment of data solutions. Ensure data quality, integrity, and compliance throughout the data lifecycle. Troubleshoot, optimize, and enhance existing data processes and queries for performance improvements. Document data models, processes, and workflows clearly for future reference and knowledge sharing. Build Data tests, Unit tests and mock data frameworks. Who You Are: B achelors or masters degree in computer science, mathematics, or related fields. At least 8 years of experience as a data warehouse expert, data engineer or data integration specialist. In depth knowledge of Snowflake components including Security and Governance Proven experience in implementing complex data models (eg. OLTP , OLAP , Data vault) A strong understanding of ETL including end-to-end data flows, from ingestion to data modeling and solution delivery. Proven industry experience with DBT and JINJA scripts Strong proficiency in SQL, with additional knowledge of Python (i.e. pandas and PySpark) being advantageous. Familiarity with data & analytics solutions such as AWS (especially Glue, Lambda, DMS) is nice to have. Experience working with Azure Dev Ops and warehouse automation tools (eg. Coalesce) is a plus. Experience with Healthcare R&D is a plus. Excellent English communication skills, with the ability to effectively engage both with R&D scientists and software engineers. Experience working in virtual and agile teams.
