Data Engineer

We are looking for a skilled Data Engineer to design, build, and optimize modern cloud-based data pipelines and analytics solutions.

The ideal candidate will develop scalable data ingestion and transformation pipelines, implement entity resolution in Snowflake, and configure Cortex AI capabilities to enable trusted, AI-ready data for analytics and business applications.

• Develop and maintain data ingestion pipelines using Fivetran.
• Build and optimize data transformation workflows using Coalesce.
• Design and implement scalable data models in Snowflake.
• Develop entity resolution and data matching solutions in Snowflake.
• Configure and optimize Snowflake Cortex Analyst and Cortex Search for AI-powered analytics.
• Ensure data quality, integrity, governance, and security across data pipelines.
• Integrate data from multiple enterprise systems and third-party sources.
• Optimize pipeline performance, reliability, and cost efficiency.
• Collaborate with architects, analysts, and business stakeholders to deliver data solutions.
• Monitor, troubleshoot, and resolve data pipeline and platform issues.
• Document data architecture, workflows, and technical specifications.
• Support CI/CD, testing, and deployment of data engineering solutions.

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 4+ years of experience in data engineering and cloud data platforms.
• Hands-on experience with Snowflake, Fivetran, and Coalesce.
• Strong knowledge of SQL and data modeling techniques.
• Experience building ELT/ETL pipelines and data integration solutions.