Data Engineer Snowflake

As a Data Engineer specializing in Snowflake, DBT, Python, and SQL, you will play a crucial role in designing, developing, and maintaining scalable data pipelines. Your expertise will be utilized to optimize data flows and manage data transformations efficiently. Collaborating with cross-functional teams, you will contribute to enabling data-driven decision-making and enhancing the overall data infrastructure. - Design, develop, and maintain scalable data pipelines using DBT and Snowflake. - Implement ETL/ELT workflows and optimize data transformations. - Develop and maintain complex SQL queries and stored procedures for data processing. - Utilize Python to automate data ingestion, transformation, and validation. - Collaborate with data analysts, scientists, and business teams to understand requirements and implement data solutions. - Ensure data integrity, security, and governance across all data platforms. - Optimize database performance and troubleshoot issues related to Snowflake and DBT. - Implement best practices in data engineering, including version control, CI/CD pipelines, and code optimization. - 4+ years of experience in Data Engineering or related roles. - Strong proficiency in Snowflake, DBT, Python, and SQL. - Experience with data modeling, schema design, and performance tuning in Snowflake. - Hands-on experience with ETL/ELT pipelines and orchestration tools. - Knowledge of cloud platforms (AWS, GCP, or Azure) and their data services. - Familiarity with version control (Git) and CI/CD practices. - Strong problem-solving skills and ability to work in a fast-paced environment. - Excellent communication and collaboration skills.,