ETL Data Engineer (DBT)

Role Overview: You are a motivated ETL Data Engineer (DBT) with 3-6 years of experience in building and maintaining data pipelines. Your expertise lies in hands-on experience with Snowflake, ETL/ELT processes, data warehousing, and SQL. Your primary responsibility will be transforming raw data into reliable, scalable, and high-quality datasets for analytics and business intelligence. Key Responsibilities: - Design, develop, and maintain Extract, Transform, Load (ETL) workflows and processes using ETL tools. - Create efficient data integration pipelines and build data models. - Collaborate with cross-functional teams to analyze and fulfill business data needs. - Ensure optimized data handling to contribute to various analytical and reporting initiatives within the organization. Qualifications: - Proficiency in Extract, Transform, Load (ETL) processes and tools. - Experience with dbt & Python is a must. - Strong skills in Data Integration and Data Modeling. - Excellent Analytical Skills to interpret business needs and translate them into data solutions. - Knowledge of database concepts and experience with SQL or similar querying languages is a plus. - Bachelor's degree in Computer Science, Information Technology, or a related field. - Ability to work collaboratively with a team and communicate technical concepts effectively. - Experience with DBT (Data Build Tool) or similar tools is highly desirable. Role Overview: You are a motivated ETL Data Engineer (DBT) with 3-6 years of experience in building and maintaining data pipelines. Your expertise lies in hands-on experience with Snowflake, ETL/ELT processes, data warehousing, and SQL. Your primary responsibility will be transforming raw data into reliable, scalable, and high-quality datasets for analytics and business intelligence. Key Responsibilities: - Design, develop, and maintain Extract, Transform, Load (ETL) workflows and processes using ETL tools. - Create efficient data integration pipelines and build data models. - Collaborate with cross-functional teams to analyze and fulfill business data needs. - Ensure optimized data handling to contribute to various analytical and reporting initiatives within the organization. Qualifications: - Proficiency in Extract, Transform, Load (ETL) processes and tools. - Experience with dbt & Python is a must. - Strong skills in Data Integration and Data Modeling. - Excellent Analytical Skills to interpret business needs and translate them into data solutions. - Knowledge of database concepts and experience with SQL or similar querying languages is a plus. - Bachelor's degree in Computer Science, Information Technology, or a related field. - Ability to work collaboratively with a team and communicate technical concepts effectively. - Experience with DBT (Data Build Tool) or similar tools is highly desirable.