Data Engineer

Job Description Roles & Responsibilities We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, dbt, SQL, Python, and AWS to support enterprise data modernization initiatives. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines, data models, and reusable data products.

Experience with Snowflake CoCo and modern cloud data engineering practices is highly desirable. Design, develop, and maintain scalable ELT/ETL pipelines using Snowflake and dbt. Build enterprise-grade data models supporting analytics, reporting, and AI initiatives.

Perform source-to-target mapping and implement data transformation frameworks. Develop and optimize Snowflake databases, schemas, and data pipelines. Leverage Snowflake CoCo capabilities to accelerate data engineering activities.

Implement data quality controls, reconciliation processes, and monitoring frameworks. Optimize query performance, warehouse utilization, and overall platform efficiency. Collaborate with architects, business stakeholders, and analytics teams to deliver trusted data products.

Support DataOps and CI/CD practices for data engineering solutions. Ensure compliance with security, governance, and data management standards.

Cloud Technologies AWS (Preferred) S3 Lambda Cloud-native Data Services Data Engineering Data Warehousing ETL / ELT Development Data Modeling Source-to-Target Mapping Data Quality & Reconciliation Performance Tuning Snowflake Expertise Snowpipe Streams & Tasks Data Sharing Role-Based Security Query Optimization Warehouse Management Salary Range: $130,000 to $145,000 per year Qualifications: BACHELOR OF COMPUTER SCIENCE