Senior Data Engineer

Key Responsibilities:

• Design and build scalable data pipeline architecture that can handle large volumes of data
• Develop ELT/ETL pipelines to extract, load and transform data from various sources into our data warehouse
• Optimize and maintain the data infrastructure to ensure high availability and performance
• Collaborate with data scientists and analysts to identify and implement improvements to our data pipeline and models
• Develop and maintain data models to support business needs
• Ensure data security and compliance with data governance policies
• Identify and troubleshoot data quality issues
• Automate and streamline processes related to data management
• Stay up-to-date with emerging data technologies and trends to ensure the continuous improvement of our data infrastructure and architecture.
• Analyze the data products and requirements to align with data strategy
• Assist in extracting or researching data for cross-functional business partners for consumer insights, supply chain, and finance teams
• Enhance the efficiency, automation, and accuracy of existing reports
• Follow best practices in data querying and manipulation to ensure data integrity

Requirements

• Bachelor's or master’s degree in computer science, Data Science, or a related field
• Must have 8+ years of experience as a Snowflake Data Engineer or related role
• Must have experience with Snowflake
• Strong Snowflake experience building, maintaining and documenting data pipelines
• Expertise in Snowflake concepts like RBAC management, virtual warehouse, file format, streams, zero copy clone, time travel and understand how to use these features
• Strong SQL development experience including SQL queries and stored procedures
• Strong knowledge of ELT/ETL no-code/low-code tools like Informatica / SnapLogic.