Data Engineer

Role Summary


We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, dbt, Fivetran, 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.

Experience: 5+ years in Data Engineering with at least 3 years of hands-on experience in Snowflake and dbt.

Key Responsibilities
• Design, develop, and maintain scalable ELT/ETL pipelines using Snowflake and dbt.
• Data ingestion experience with Fivetran or similar ELT tools.
• Perform source-to-target mapping and implement data transformation frameworks.
• Develop and optimize Snowflake databases, schemas, and data pipelines.
• 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.
• Leverage Snowflake CoCo capabilities to accelerate data engineering activities.
• Ensure compliance with security, governance, and data management standards.


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Required Technical Skills


Data Platform
• Snowflake
• dbt (Core / Cloud)
• Fivetran
• SQL (Advanced)
• Python


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

Nice to Have:


Cloud Technologies Experience
• AWS (Preferred)
• S3
• Lambda
• Cloud-native Data Services
• Terraform
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Salary Range: $105,000 to $120,000 per year