Data Engineer with Fivetran, Snowflake and dbt

Обязанности: Design end to end data pipelines using Fivetran, dbt, and Snowflake, Build and support ingestion and transformation pipelines for enterprise data products, Configure and manage Fivetran connectors across SaaS applications, databases, APIs, and file-based sources, Develop and maintain dbt models across staging, intermediate, mart, and publish layers, Implement dbt tests, source freshness checks, incremental processing, documentation, and reusable macros, Develop optimized Snowflake SQL and scalable analytical data models, Support Snowflake objects, security and RBAC, stages, data sharing, and data loading patterns, Implement data quality, reconciliation, monitoring, and operational alerting, Troubleshoot production pipelines and perform root cause analysis across ingestion and transformation layers, Participate in Git based development, CI/CD, code reviews, and DEV, QA, and PROD deployments, Collaborate with application, infrastructure, security, analytics, and business teams to onboard new data sources, Use AI-assisted development tools to support coding, troubleshooting, documentation, and code quality

Опыт: 5+ years of Data Engineering or related experience, 2+ years of hands-on experience with Snowflake and dbt, Production experience implementing and supporting Fivetran pipelines, Experience designing reusable ingestion and transformation patterns, Strong SQL skills including complex joins, CTEs, window functions, reconciliation, and query optimization, Experi