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.
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.
requirements-expected :
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.
