SysMind Tech
Snowflake Data Engineer
SysMind Tech, Charlotte, North Carolina, United States, 28245
Key Skills:DBTAirflowPythonAWS services (glue, lambda)Snowflake with snowpackJob Description
Strong proficiency in SQL, particularly with Snowflake platforms.Experience with DBT (Data Build Tool) for data modelling and transformation.Hands-on experience with Apache Airflow for workflow orchestration and scheduling.Proficiency in Python programming for scripting, automation, and data processing.Familiarity with AWS services, particularly Glue, Lambda, S3, and IAM.Design, develop, and deploy data pipelines and ETL processes using Snowflake, DBT, and Airflow.Implement data models, transformations, and schema designs to support analytical and reporting needs.Optimize and tune Snowflake performance, including query optimization, resource management, and scaling strategies.Integrate Snowflake with other AWS services like Glue, Lambda, S3, and more to build end-to-end data solutions.Develop custom Python scripts and applications for data processing, automation, and orchestration.Ensure data quality, integrity, and security throughout the data lifecycle.Document technical designs, data pipelines, and system architectures.
Strong proficiency in SQL, particularly with Snowflake platforms.Experience with DBT (Data Build Tool) for data modelling and transformation.Hands-on experience with Apache Airflow for workflow orchestration and scheduling.Proficiency in Python programming for scripting, automation, and data processing.Familiarity with AWS services, particularly Glue, Lambda, S3, and IAM.Design, develop, and deploy data pipelines and ETL processes using Snowflake, DBT, and Airflow.Implement data models, transformations, and schema designs to support analytical and reporting needs.Optimize and tune Snowflake performance, including query optimization, resource management, and scaling strategies.Integrate Snowflake with other AWS services like Glue, Lambda, S3, and more to build end-to-end data solutions.Develop custom Python scripts and applications for data processing, automation, and orchestration.Ensure data quality, integrity, and security throughout the data lifecycle.Document technical designs, data pipelines, and system architectures.