We are looking for an experienced MLOps Engineer to join our team and support the development and optimization of data infrastructure and machine learning processes.

MLOps Engineer

Your responsibilities

• Managing and optimizing Snowflake data warehouses, including understanding Snowflake architecture (virtual warehouses, micro-partitions) and performance tuning.
• Designing and implementing ETL/ELT processes using cloud-native tools such as dbt, AWS Glue, and Talend.
• Handling bulk data ingestion into Snowflake, ensuring data integrity and efficient processing.
• Writing and optimizing queries in Snowflake SQL and implementing stored procedures.
• Transforming raw data into structured formats suitable for downstream usage like reporting and visualization, using tools such as dbt and Snowflake SQL.
• Collaborating with data science and IT teams to ensure process consistency and automation in ML workflows.

Our requirements

• Practical knowledge of Snowflake, including architecture and optimization techniques.
• Experience working with ETL/ELT tools: dbt, AWS Glue, Talend.
• Programming skills in Python and JavaScript.
• Proficiency in Snowflake SQL and stored procedures.
• Ability to transform data and prepare it for analysis and reporting.
• Familiarity with version control systems and CI/CD tools (e.g., GitLab Pipelines).
• Experience with the DataOne platform, Immuta, GitLab Pipelines, and Monte Carlo methods.