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описание
We are looking for an experienced, hands-on Data Engineer with strong expertise in Fivetran, dbt, Snowflake, and modern cloud data engineering practices. The candidate should also have experience with Python, and familiarity with AI-assisted development tools such as Claude, Cursor, or VS Code-based AI assistants. The role will focus on building scalable ingestion and transformation pipelines, implementing data quality and orchestration patterns, and supporting enterprise data products consumed by analytics and business teams.
задачи
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
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
требования
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
Experience with Git and CI/CD including branching, pull requests, code reviews, and automated deployment workflows
Working knowledge of Python for data processing, automation, API integrations, file processing, data validation, and operational scripting
Experience operating within enterprise DEV, QA, and PROD SDLC and change management processes
Strong production troubleshooting and root cause analysis skills
Comfort using Claude, Cursor, or VS Code with AI-assisted development capabilities
Будет плюсом: Experience with Apache Airflow or AWS MWAA for orchestration; Experience with AWS services including S3, IAM, Lambda, Secrets Manager, and FSx; Experience with Salesforce, Marketo, and other SaaS integrations; Experience with REST API and SFTP or file based ingestion; Experience with Snowflake Secure Data Sharing; Experience with Snowpark or Snowpark Container Services; Experience with Databricks; Experience with Terraform or Infrastructure as Code; Experience with data quality and observability frameworks; Experience modernizing or migrating legacy ETL or integration platforms
