Freelance Data Engineer

As a Data Engineer, you will be responsible for: - Utilizing expertise in Data Vault 2.0 and dimensional modeling principles. - Implementing modular ELT pipelines using dbt for data transformation and version control. - Demonstrating hands-on experience with cloud data warehouses on Snowflake, including query tuning, cost optimization, and secure data sharing. - Applying advanced SQL skills for analytics, transformations, and performance optimization. - Implementing DevOps best practices including CI/CD pipelines, automated testing, and environment management. - Leveraging GitHub for source control, branching strategies, and team collaboration. - Working in Agile/Scrum environments to deliver iterative value. Qualifications required for this role include: - 6-8 years of experience in data engineering. - Expertise in Data Vault 2.0 and dimensional modeling principles. - Proficiency in modular ELT pipelines using dbt. - Hands-on experience with cloud data warehouses, specifically Snowflake. - Strong skills in advanced SQL for analytics and performance optimization. - Familiarity with DevOps practices, including CI/CD pipelines and automated testing. - Experience working in Agile/Scrum environments. Kindly note that the job is a Freelance/Contract position with a duration of 6+ months. As a Data Engineer, you will be responsible for: - Utilizing expertise in Data Vault 2.0 and dimensional modeling principles. - Implementing modular ELT pipelines using dbt for data transformation and version control. - Demonstrating hands-on experience with cloud data warehouses on Snowflake, including query tuning, cost optimization, and secure data sharing. - Applying advanced SQL skills for analytics, transformations, and performance optimization. - Implementing DevOps best practices including CI/CD pipelines, automated testing, and environment management. - Leveraging GitHub for source control, branching strategies, and team collaboration. - Working in Agile/Scrum environments to deliver iterative value. Qualifications required for this role include: - 6-8 years of experience in data engineering. - Expertise in Data Vault 2.0 and dimensional modeling principles. - Proficiency in modular ELT pipelines using dbt. - Hands-on experience with cloud data warehouses, specifically Snowflake. - Strong skills in advanced SQL for analytics and performance optimization. - Familiarity with DevOps practices, including CI/CD pipelines and automated testing. - Experience working in Agile/Scrum environments. Kindly note that the job is a Freelance/Contract position with a duration of 6+ months.