Dexian DISYS
Snowflake Data Engineer (Coppell,TX or Tampa, FL)
Tampa, Florida, USA · full-time, contract
Sponsorship not specifiedDetected 50 days ago
SQLSnowflakeRedshiftAWSData EngineeringAgile
About the role
- Ensure data quality, reliability, and performance through testing (unit, integration, and UAT) and monitoring.
- Participate in Agile processes including sprint planning, estimation, and documentation.
Responsibilities
- Design, develop, and maintain scalable data pipelines and integration solutions for both batch and real-time processing.
- Build and optimize data solutions using Snowflake, including advanced features to support large-scale analytics workloads.
- Develop complex SQL and PL/SQL scripts, procedures, and data transformation logic.
- Implement data ingestion and processing frameworks using tools such as Snowpipe, Streams, Tasks, and Snowpark.
- Architect and support secure, cost-efficient AWS-based data platforms.
- Contribute to data modeling efforts, including dimensional modeling, slowly changing dimensions (SCDs), and fact table design.
- Perform performance tuning and troubleshooting to optimize queries and pipelines.
- Collaborate with cross-functional teams to define requirements and deliver data-driven solutions.
Requirements
- 7+ years of experience in data engineering, data management, or data warehousing.
- 3+ years of hands-on experience with Snowflake.
- Advanced proficiency in SQL development and performance tuning.
- Experience supporting testing cycles and production-ready deployments.
- This role requires deep expertise in modern cloud data warehousing, strong SQL development skills, and hands-on experience with Snowflake and AWS technologies.
Skills
- Strong expertise in AWS cloud services (e.g., S3, EC2, Glue, Lambda, Redshift or similar).
Visa & Work Authorization
- candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status
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