We are looking for a highly skilled Senior Data Engineer to join our team for a cloud migration initiative centered on Snowflake . The ideal candidate will have strong expertise in dbt , AWS , Airflow , Python , and advanced SQL . You will play a key role in building, automating, and optimizing data pipelines to ensure high performance and reliability in a modern, cloud-based data ecosystem. Key Responsibilities Design, develop, and maintain data pipelines and transformation workflows using dbt and Airflow . Develop and optimize complex SQL queries for data extraction, transformation, and analytics. Lead and support data migration initiatives to Snowflake within an AWS environment. Collaborate with architects, analysts, and business teams to ensure alignment on data requirements. Implement data quality , lineage, and performance monitoring standards. Leverage Python for data automation, validation, and process orchestration. Contribute to continuous improvement and DevOps practices within the data engineering environment. Skills & Experience Required 5 years of professional experience as a Data Engineer . Proven hands-on experience with Snowflake , dbt , AWS , Airflow , and Python . Advanced SQL development and optimization skills. Strong understanding of ETL/ELT , data modeling , and data warehousing principles. Familiarity with CI/CD pipelines, version control (Git), and infrastructure as code. Experience with cloud-based architecture and modern data stacks. Strong analytical thinking and problem-solving ability. Preferred Qualifications Bachelor’s degree in Computer Science, Information Systems, or a related field. Certifications in AWS , Snowflake , or dbt are advantageous. Experience with containerization (Docker, Kubernetes) is a plus. * In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent * If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.

We are seeking a highly skilled Senior Data Engineer to join our team for a cloud migration initiative focused on Snowflake . The ideal candidate will have strong experience with DBT , advanced SQL capabilities, and a solid understanding of modern cloud data platforms. This role involves building and optimizing data pipelines, ensuring high data quality, and supporting scalable data solutions within a cloud-first environment. Key Responsibilities Design, develop, and maintain data pipelines and transformation workflows using DBT . Develop and optimize complex SQL queries for data extraction, transformation, and analysis. Support data migration activities from on-prem to Snowflake . Collaborate with data architects, analysts, and business stakeholders to understand data requirements and ensure accuracy. Implement data quality checks and ensure performance optimization across pipelines. Troubleshoot and resolve data issues across multiple environments. Contribute to continuous improvement initiatives and automation of data processes. Skills & Experience Required 5 years of professional experience as a Data Engineer . Strong hands-on experience with DBT (Data Build Tool). Advanced SQL development and optimization skills. Proven experience with Snowflake or other cloud data warehouses. Experience with data modeling, ETL/ELT design, and performance tuning. Familiarity with Python or other scripting languages is advantageous. Experience working in cloud environments such as AWS , Azure , or GCP . Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Preferred Qualifications Bachelor’s degree in Computer Science, Information Systems, or related field. Experience with data orchestration tools (Airflow, Prefect, etc.) is a plus. Exposure to CI/CD, Git-based workflows, and infrastructure as code principles. * In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent * If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.