Leads Center of Excellence initiatives for Snowflake and SnapLogic data engineering. Designs complex integration pipelines, develops Snowflake data models and dbt transformations, manages CI/CD workflows, automates processing with Python or Shell, and uses advanced SQL for analysis and troubleshooting. Provides technical leadership on best practices, security, scalability, and deployment while collaborating with cross-functional teams to deliver reliable data solutions.
Senior Snowflake & SnapLogic COE Engineer
Summary
We are seeking an experienced professional to lead our Center of Excellence (COE) initiatives, focusing on advanced data engineering and integration solutions. This pivotal role is responsible for architecting, optimizing, and maintaining robust data ecosystems using Snowflake and SnapLogic technologies. The successful candidate will drive innovation in data transformation and pipeline management, ensuring high performance and scalability for our IT services operations. This position requires a deep understanding of modern data stacks and the ability to mentor teams in best practices for data development and deployment.
Responsibilities
- Design and implement complex data pipelines using SnapLogic to facilitate seamless integration across diverse systems.
- Develop and optimize data models and transformations within the Snowflake environment, leveraging Data Build Tool (DBT) for efficient data warehousing.
- Architect and maintain CI/CD workflows to automate the deployment of data solutions, ensuring reliability and speed in the delivery lifecycle.
- Write and refine Python or Shell scripts to enhance automation capabilities and support custom data processing requirements.
- Execute advanced SQL queries to analyze data structures, troubleshoot performance issues, and validate data integrity.
- Provide technical leadership and guidance to the team regarding Snowflake and SnapLogic best practices, security protocols, and scalability strategies.
- Collaborate with cross-functional teams to define data requirements and deliver scalable solutions that align with business objectives.
Requirements
Requirements:
- Possess a minimum of 7 to 12 years of professional experience in data engineering or related IT services roles.
- Demonstrate expert proficiency in Snowflake architecture and administration.
- Show strong hands-on experience in building and managing SnapLogic integration pipelines.
- Be highly skilled in utilizing Data Build Tool (DBT) for modern data transformation workflows.
- Have a solid command of SQL for complex data manipulation and analysis.
- Possess practical expertise in DevOps principles, including the implementation of CI/CD pipelines.
- Exhibit strong programming abilities in Python or Shell scripting for automation and data processing tasks.
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