Senior Data Engineer

Recutify Inc.

Tampa, FL, United States

7 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Microsoft Azure Code Review Continuous Integration Information Engineering Data Governance Extract Transform Load (ETL) Data Systems Data Warehousing Database Design JSON Python (Programming Language) Performance Tuning

+14 more

Role-Based Access Control Cloud Services SQL Stored Procedures SQL Databases Enterprise Data Management Data Processing Scripting Cloud Platform System Azure Data Factory Snowflake Git Restful APIs Streamlit Framework Data Pipelines

Job description

Design and develop Snowflake-based data solutions and ETL/ELT pipelines. Implement Medallion Architecture (Bronze, Silver, Gold). Develop complex SQL, Snowflake Scripting, Stored Procedures, Streams & Tasks. Implement CDC and incremental data processing. Design data models, schemas, fact/dimension tables, and SCD Type 1/2. Perform SQL/Snowflake performance tuning and production troubleshooting. Work with Snowpipe, Dynamic Tables, Stages, Views, and Materialized Views. Develop/support Streamlit applications with Snowflake. Work with Python/Snowpark and Azure Logic Apps. Implement data quality, auditing, reconciliation, security, and RBAC. Participate in code reviews and mentor junior engineers. Must-Have Skills Snowflake Expert SQL Expert ETL / ELT Medallion Architecture Data Modeling & Database Design Snowflake Scripting Streams & Tasks Stored Procedures Data Warehousing Good to Have Streamlit Python / Snowpark Snowpipe / Dynamic Tables Azure Logic Apps Azure Data Services REST APIs / JSON Git / CI/CD Data Quality & Governance

Requirements

We are looking for a Senior Data Engineer with strong hands-on expertise in Snowflake, SQL, ETL/ELT, Data Modeling, Database Design, and Medallion Architecture. The candidate should be experienced in building scalable data pipelines and working with cloud-based data platforms., 8+ years in Data Engineering / Data Warehousing. 4+ years of Snowflake experience preferred. Strong experience in enterprise data pipelines and cloud data platforms. Strong production support and performance-tuning experience. Good communication, problem-solving, and technical leadership skills.