Data Engineer

We are seeking a skilled Data Engineer to build and maintain ETL/ELT pipelines that support the creation of a centralized data platform in Snowflake. The ideal candidate will have extensive experience with Snowflake and data engineering best practices, ensuring data quality, consistency, and reliability to support downstream analytics and machine learning workflows. Key Responsibilities Develop and optimize ETL/ELT pipelines to support data integration and transformation. Cleanse, transform, and load structured and unstructured data into Snowflake. Ensure high standards of data quality, consistency, and reliability across systems. Collaborate with analytics and ML teams to support downstream workflows. Maintain and improve data infrastructure to meet evolving business needs. Required Qualifications Minimum 8 years of experience developing and optimizing ETL/ELT pipelines. Minimum 4 years of hands-on experience with Snowflake’s cloud data platform. Minimum 4 years of experience cleansing, transforming, and loading data into Snowflake. Minimum 4 years of experience ensuring data quality, consistency, and reliability. Minimum 2 years of experience supporting downstream analytics and ML workflows. Preferred Qualifications Experience with data orchestration tools and cloud-native data engineering solutions. Familiarity with data governance and security best practices. Email ID * This field is required Please enter valid emailId. Cell phone * This field is required Please enter valid cell phone. First Name * This field is required Please enter valid first name. Last Name * This field is required Please enter valid last name. #J-18808-Ljbffr Compunnel, Inc.