Data Engineer - Python

As a Data Engineer at our company, you will be responsible for designing, building, and supporting scalable data solutions to facilitate business intelligence, analytics, and data-driven decision-making. You will work within a cross-functional Agile team to develop robust data pipelines, data warehouse solutions, and cloud-based data architectures while ensuring compliance with engineering and governance standards. Key Responsibilities: - Design, develop, test, and maintain data pipelines and data warehouse solutions. - Work with structured and unstructured data from multiple sources. - Build scalable cloud-based data architectures. - Develop innovative data solutions aligning with business requirements. - Follow engineering best practices, governance, security, and architectural standards. - Participate in Agile ceremonies and collaborate with stakeholders across IT and business teams. - Support production environments and participate in on-call activities when required. - Drive automation, reusability, and continuous improvement initiatives. - Contribute to data strategy and business intelligence capabilities. Qualifications Required: - Strong experience in cloud-based data engineering environments. - Hands-on expertise with BigQuery, Dataflow, and Pub/Sub. - Experience implementing Kimball dimensional models. - Good understanding of DevOps and automation practices. - Ability to work independently and within collaborative Agile teams. - Strong problem-solving and analytical mindset. About the Company: (If available in the Job Description) As a Data Engineer at our company, you will be responsible for designing, building, and supporting scalable data solutions to facilitate business intelligence, analytics, and data-driven decision-making. You will work within a cross-functional Agile team to develop robust data pipelines, data warehouse solutions, and cloud-based data architectures while ensuring compliance with engineering and governance standards. Key Responsibilities: - Design, develop, test, and maintain data pipelines and data warehouse solutions. - Work with structured and unstructured data from multiple sources. - Build scalable cloud-based data architectures. - Develop innovative data solutions aligning with business requirements. - Follow engineering best practices, governance, security, and architectural standards. - Participate in Agile ceremonies and collaborate with stakeholders across IT and business teams. - Support production environments and participate in on-call activities when required. - Drive automation, reusability, and continuous improvement initiatives. - Contribute to data strategy and business intelligence capabilities. Qualifications Required: - Strong experience in cloud-based data engineering environments. - Hands-on expertise with BigQuery, Dataflow, and Pub/Sub. - Experience implementing Kimball dimensional models. - Good understanding of DevOps and automation practices. - Ability to work independently and within collaborative Agile teams. - Strong problem-solving and analytical mindset. About the Company: (If available in the Job Description)