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Data Engineer

remedy product studio·LATAM·Brazil, Georgia, Poland, Serbia·mid
awsgcpazuremldata engineeringdata science
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Who we are Product Strategy. Technology Execution. Launch. Investment. Remedy Product Studio is a rapidly scaling technology company specializing in working with and investing in prominent start-ups and brands in building and scaling their digital products. We use data-driven agile approaches coupled with high performing teams as a cornerstone of our technology-first culture. We partner with startups to strategize, execute, launch, and invest in digital products, including web apps, mobile apps, data science tools, and firmware for connected devices. We believe that people make a great company, and that's why we want you to join us!!! Who we're looking for As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and storage solutions. You will work closely with product managers, engineers, and analysts to ensure efficient data workflows and enable data-driven decision-making. The ideal candidate has a strong background in data engineering, with expertise in AWS and a familiarity with GCP or Azure as a plus. What you will do Design, develop, and maintain scalable ETL/ELT pipelines and data workflows. Optimize data storage, processing, and retrieval using cloud-based technologies, with a strong focus on AWS. Work with structured and unstructured data across various databases and data lakes. Ensure data integrity, security, and compliance with industry standards. Collaborate with cross-functional teams to define data requirements and support analytics and machine learning initiatives. Monitor and improve data infrastructure performance, ensuring reliability and scalability. Implement best practices for data governance, quality, and observability. Develop and maintain robust data injection processes to ensure seamless data flow across systems. Design and optimize data models to support analytical and operational use cases. What should your qualifications be 5+ years of experience in data engineering or a rel

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