Design, implement, and optimize scalable Snowflake data solutions. Contribute to the overall data architecture and strategy. Collaborate with cross-functional stakeholders to gather data requirements and translate them into effective solutions. Develop efficient ETL/ELT pipelines to support analytics and data-driven applications. Ensure data accuracy, consistency, security, and performance across the Snowflake environment. Maintain comprehensive documentation for data processes, architecture, and best practices. Work closely with DevOps teams to implement CI/CD pipelines for data workflows.
Requirements
Role & Responsibilities:
Design, implement, and optimize scalable Snowflake data solutions.
Contribute to the overall data architecture and strategy.
Collaborate with cross-functional stakeholders to gather data requirements and translate them into effective solutions.
Develop efficient ETL/ELT pipelines to support analytics and data-driven applications.
Ensure data accuracy, consistency, security, and performance across the Snowflake environment.
Maintain comprehensive documentation for data processes, architecture, and best practices.
Work closely with DevOps teams to implement CI/CD pipelines for data workflows.
Hard Skills - Must have:
Proven experience as a Data Engineer with a strong focus on Snowflake.
Deep expertise in SQL for complex queries, performance tuning, and data modeling.
Experience in cloud-based environments.
Strong understanding of data warehousing concepts and best practices.
Knowledge of Agile methodologies and SDLC practices.
Hard Skills - Nice to have/It's a plus:
Python for data transformations and automation.
Power BI or other BI tools for visualization and reporting.
CI/CD processes and DevOps practices.
Experience integrating data from SAP or other ERP systems.
Soft Skills / Business Specific Skills:
Proactive, analytical mindset with strong problem-solving abilities.
Self-motivated, organized, and detail-oriented.
Excellent English communication skills, both written and verbal.