Your responsibilities, Design, develop, and optimize data pipelines and workflows for large-scale analytics and audience forecasting;, Work across the application stack, focusing primarily on backend data engineering;, Ensure code quality through reviews, testing, and adherence to best practices;, Collaborate with global engineering pods to maintain consistent coding standards;, Mentor and guide engineers and contractors, fostering technical growth;, Partner with product managers and peers to translate business requirements into scalable solutions. What we offer, Technical and non-technical training for professional and personal growth;, Internal conferences and meetups to learn from industry experts;, Support and mentorship from an experienced employee to help you professional grow and development;, Health insurance;, English courses;, Sports activities to promote a healthy lifestyle;, Flexible work options, including remote and hybrid opportunities;, Referral program for bringing in new talent;, Work anniversary program and additional vacation days.

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Data Engineer (Life Sciences & Healthcare)