Senior Data Engineer (Fivetran, Snowflake, dbt)

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Technology stack Fivetran, dbt, dbt Cloud, Snowflake, SQL, Python, Git, Apache Airflow, AWS services (MWAA, S3, IAM, Lambda, Secrets Manager, FSx), Salesforce, Marketo, REST API, SFTP, Snowpark, Snowpark Container Services, Databricks, Terraform Project overview This project is centered on a modern cloud data platform built with Fivetran, dbt, and Snowflake. You will help enable reliable and scalable data flows for enterprise use cases while supporting development practices such as CI/CD, code review, and controlled deployments. Team Medium team (10-20 people) You will collaborate with application, infrastructure, security, analytics, and business teams. The work involves cross functional cooperation focused on onboarding new data sources, supporting production pipelines, and maintaining reliable data delivery. Position overview 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. Responsibilities Design end to end data pipelines using Fivetran, dbt, and Snowflake Build and support ingestion and transform

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