- Professional
- Oficina en Dallas
Job Summary:
We are looking for a skilled SQL Developer with strong Snowflake experience to design, develop, and optimize database solutions for large-scale data platforms. The ideal candidate will have expertise in SQL programming, data modeling, ETL development, and Snowflake cloud data warehouse, along with strong problem-solving and performance-tuning skills.
Key Responsibilities:
· Develop, optimize, and maintain SQL queries, stored procedures, and views in Snowflake.
· Design and implement data models, schemas, and warehouse structures for scalable reporting and analytics.
· Build and maintain ETL/ELT pipelines to integrate data from various sources into Snowflake.
· Work with business stakeholders to understand requirements and deliver data solutions.
· Implement performance tuning, query optimization, and cost management in Snowflake.
· Manage Snowflake security, role-based access, and data governance.
· Collaborate with data engineers, BI developers, and analysts to ensure data quality and consistency.
· Monitor database performance and troubleshoot issues proactively.
Required Skills & Qualifications:
· Proven experience as a SQL Developer with expertise in Snowflake.
· Strong SQL programming skills, including advanced functions, optimization, and debugging.
· Hands-on experience with ETL/ELT development using tools like Informatica, Talend, dbt, or Python.
· Experience with cloud platforms (AWS, Azure, or GCP) and integration with Snowflake.
· Solid understanding of data warehousing, dimensional modeling, and star/snowflake schemas.
· Familiarity with version control (Git) and CI/CD pipelines for data workflows.
· Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications:
· Experience with Snowpipe, Streams, and Tasks in Snowflake.
· Exposure to Snowflake performance monitoring tools.
· Knowledge of data visualization tools (Power BI, Tableau, Looker) for reporting integration.
· Familiarity with Python or Scala for data transformation and automation.
Education:
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
