Data Platform Engineer

This team is responsible for maintaining, and enhancements of data platform components used to deliver our data solutions. Our Data Platform Engineer would need advanced knowledge of cloud big data technologies, software development experience, and strong SQL skills. The ideal candidate for this role has a background in software development and big data engineering that is comfortable in a remote working environment supporting hybrid on-shore/off-shore engineering teams. KEY RESPONSIBILITIES Build and operationalize cloud-based platform components Develop production-quality data ingestion pipelines with automated quality checks using GCP and Astronomer Assess existing systems architecture and recommend technical improvements Develop Python-based automation to support product development and data analytics Resolving technical problems as they arise Research and propose emerging technologies and platform enhancements Evaluate the business impact of technical decisions Participate in a collaborative, peer review based environment fostering new ideas via cross team guilds / specialty groups Maintain comprehensive documentation around our processes / decision making YOUR QUALIFICATIONS Bachelor's Degree in Computer science or related field 3+ years of related information technology experience 2+ years building complex ETL pipelines with dependency management (e.g., File Watchers, APIs, Airflow) 2+ years of experience with Big Data technologies (Python, Data Lake, BigQuery SQL) Industry certifications such as GCP Certified Data Engineer or Solutions Architect (preferred) Demonstrated experience with the Scrum Agile methodology Strong ability to learn new technologies in a short time Must possess well-developed verbal and written communication skills