Negotiable Salary
Qode
Texas, USA
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.