Senior Snowflake Data Engineer

Role Overview: You will be responsible for leveraging your expertise in Snowflake, SQL/PLSQL, DBT or any ETL, Python, and DevOps to design, develop, and maintain efficient data pipelines and processes. Your role will involve working with large datasets, optimizing queries, and ensuring data quality and integrity. You will collaborate with cross-functional teams to understand business requirements, translate them into technical solutions, and implement data models that support analytical and reporting needs. Your experience in DevOps will be valuable in ensuring the scalability, reliability, and performance of data systems. Key Responsibilities: - Utilize expertise in Snowflake, SQL/PLSQL, DBT or any ETL, Python, and DevOps to design, develop, and maintain efficient data pipelines and processes - Work with large datasets, optimize queries, and ensure data quality and integrity - Collaborate with cross-functional teams to understand business requirements, translate them into technical solutions, and implement data models - Ensure the scalability, reliability, and performance of data systems by applying DevOps principles Qualifications Required: - Minimum of 3-9 years of experience in data engineering - Strong foundation in Snowflake and proficiency in SQL/PLSQL - Knowledge of ETL tools like DBT and programming skills in Python - Understanding of DevOps principles (Note: No additional details about the company were mentioned in the job description.),