Senior Analytics Engineer - Marketing Data

<h3>Accountabilities</h3><li>Design, develop, and maintain scalable data models, transformations, and materializations in Snowflake to support marketing analytics and business reporting.</li><li>Work hands-on with Google Analytics data in a production environment, ensuring that marketing data is accurately structured and readily available for analysis.</li><li>Develop, review, troubleshoot, and optimize SQL queries and Python code to improve data processing, reliability, and performance.</li><li>Analyze API documentation and translate endpoints, objects, fields, and identifiers into practical data integration solutions aligned with business requirements.</li><li>Implement and maintain data validation practices across multiple stages of data pipelines to ensure data integrity, consistency, and accuracy.</li><li>Apply Git-based development workflows, including version control, code reviews, testing, and CI/CD practices, to maintain high engineering standards.</li><li>Collaborate with stakeholders to gather requirements, clarify ambiguous business needs, structure discussions, and translate findings into precise, actionable technical specifications.</li><li>Identify opportunities to improve data models, transformation logic, pipeline reliability, and overall analytics engineering processes.</li><h2>Requirements</h2><li>At least 5 years of relevant professional experience in analytics engineering, data engineering, marketing data, or a closely related field.</li><li>Hands-on professional experience working with Google Analytics data in a business or production environment. Academic coursework, certifications, or self-directed projects alone do not meet this requirement.</li><li>Professional experience supporting data initiatives within a retail or e-commerce environment.</li><li>Advanced SQL skills, including experience designing fit-for-purpose data models, transformations, and materializations in Snowflake.</li><li>Working proficiency in Python, with the ability to read, evaluate, debug, troubleshoot, and improve code written by others.</li><li>Experience interpreting API documentation and mapping API endpoints, objects, fields, and identifiers to business and technical requirements.</li><li>Practical experience with Git and version-controlled development workflows, including code reviews, testing, and CI/CD.</li><li>Strong understanding of data quality and validation techniques across different stages of a data pipeline.</li><li>Excellent stakeholder management and requirements-gathering skills, with the ability to bring structure to ambiguous discussions and turn business needs into clear technical solutions.</li><li>Exceptional written and verbal communication skills in English, with the ability to communicate technical concepts clearly to both technical and non-technical audiences.</li><li>A proactive, analytical, and detail-oriented mindset, combined with strong problem-solving skills and the ability to work effectively in a remote environment.</li><h2>Benefits</h2><li>
<strong>Remote work:</strong>Work remotely from Anywhere, offering flexibility in your working environment.</li><li>
<strong>Long-term engagement:</strong>An opportunity to contribute to ongoing data engineering and marketing analytics initiatives through a long-term contract.</li><li>
<strong>Technical impact:</strong>Work with modern data technologies, including Snowflake, SQL, Python, Google Analytics, and API integrations.</li><li>
<strong>Business exposure:</strong>Collaborate with stakeholders to solve meaningful business challenges and support data-informed decision-making.</li><li>
<strong>Professional development:</strong>Strengthen your expertise in analytics engineering, data modeling, marketing data, and scalable data pipeline development.</li>