Snowflake Data Engineer

Overview

• Proven experience as a Data Architect or similar role, with extensive hands-on experience on the Snowflake platform.
• Experience with Openflow for workflow automation and data orchestration.
• Strong knowledge of SQL Server and relational database concepts.
• Proficiency in cloud platforms, particularly Microsoft Azure and Amazon Web Services (AWS).
• Understanding of Salesforce data ingestion methods and associated APIs/tools.
• Experience working with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
• Familiarity with analytics and visualization tools such as Power BI and Tableau.
• Strong problem-solving skills and ability to work collaboratively in cross-functional teams.
• Excellent communication skills to translate technical concepts for non-technical stakeholders.
• Experience with Python, Spark, or other data engineering tools/languages.
• Knowledge of latest trends in AI/ML areas
  
  
  

• Design and architect scalable, secure, and high-performance data solutions primarily using the Snowflake platform.
• Leverage Openflow experience to optimize data workflows and integrations.
• Develop and maintain ETL/ELT pipelines for data ingestion from various sources, including Salesforce, relation, files and NoSQL databases.
• Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical solutions.
• Implement dimensional modeling techniques to support data warehousing and business intelligence needs.
• Build and optimize data pipelines across cloud environments (Azure and AWS) ensuring efficient data movement and transformation.
• Ensure data quality, governance, and security best practices are adhered to across the data architecture.
• Support analytics and reporting teams by enabling data access and integration with Power BI and Tableau dashboards.
• Stay current with emerging data technologies and recommend improvements to existing data architecture.