Data Engineer (Snowflake / AWS)

CyberProof is a mission-driven technology company that transforms lives through innovation. They are seeking a highly skilled Data Engineer to design and deliver scalable data solutions using Snowflake and AWS, focusing on building robust data pipelines and optimizing data architectures for advanced analytics.

Responsibilities:

• Design, develop, and maintain scalable data pipelines and workflows using Snowflake and AWS services
• Implement data ingestion, transformation, and integration processes for structured and unstructured data
• Develop optimized Snowflake objects (tables, views, streams, tasks, stored procedures)
• Build and manage ELT pipelines using tools such as AWS Glue, Airflow, or other orchestration frameworks
• Collaborate with data analysts, architects, and business stakeholders to gather data requirements and deliver high-quality solutions
• Perform data modeling (dimensional & warehouse modeling) to support reporting and analytics use cases
• Optimize data processes for performance, scalability, and cost-efficiency in Snowflake
• Implement data governance, security, and compliance best practices

Requirements:

• 7+ years of experience in Data Engineering or related roles
• Strong hands-on experience with Snowflake (SnowSQL, Snowpipe, Streams, Tasks, Data Sharing)
• Experience in AWS ecosystem (S3, Redshift, Glue, Lambda, EMR)
• Proficiency in SQL and one programming language (Python / PySpark preferred)
• Experience in ETL/ELT tools and data integration frameworks
• Strong knowledge of data warehousing concepts and dimensional modeling
• Experience with big data technologies (Spark, Hadoop, Databricks – optional but preferred)
• Familiarity with CI/CD, DevOps practices, and version control tools
• Experience with real-time data ingestion and streaming pipelines
• Exposure to data orchestration tools (Airflow, Step Functions, etc.)
• Knowledge of data visualization tools (Power BI, Tableau)
• Experience in US healthcare domain