Senior Data Engineer (Snowflake) - Onsite

Position Summary: The Senior Data Engineer will be part of a team designing and implementing our modern data platform to support enterprise-wide analytics, integration, and AI/ML initiatives. Together, the team will build a scalable enterprise data warehouse, enable modern visualization tools, and advance self-service analytics capabilities for business users. Major Duties and Responsibilities: Data Engineering & Pipeline Development – Design, build, and maintain scalable data pipelines and workflows in Snowflake, leveraging dbt for modular transformations and Fivetran for automated ingestion. Enterprise Data Warehouse & Modeling – Architect and optimize the enterprise data warehouse, applying best practices in data modeling, performance tuning, and scalability to support enterprise-wide analytics. Education and Experience: Required: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field. 5+ years of professional experience in data engineering or related roles. Proven expertise with Snowflake for data pipelines, development, and optimization. Strong experience with dbt for modular transformations and Fivetran for automated ingestion. Hands‑on experience with AWS cloud services (especially S3) for data integration and storage. Preferred: Master’s degree in a related field. Experience with real‑time/streaming technologies (e.g., Kafka, Kinesis, Flink). Knowledge of data security, compliance, and access control best practices. Knowledge and Skills: Snowflake (Expert) – deep expertise in data pipelines, query optimization, and enterprise‑scale implementation. dbt (Advanced) – strong ability to design modular, reusable transformations and maintain version‑controlled models. Fivetran (Advanced) – hands‑on skill in managing ingestion pipelines and troubleshooting data connectors. Data Warehousing & Data Modeling (Advanced) – proficiency in dimensional modeling, star/snowflake schemas, and performance tuning. #J-18808-Ljbffr