Senior Data Engineer

🕒 October 19

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 12%

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• Open for 27 days.
• No salary listed.

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Redica Systems

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

🏥 Healthcare

🍽️ Food & Beverage

💼 Consulting

💰 $30M Series B on 2021-12

Healthcare • Food & Beverage • Consulting

Redica Systems is a data analytics platform focused on providing quality and regulatory intelligence for life sciences companies, including those in the pharmaceutical and MedTech sectors. The platform structures unstructured data from various global health agencies and transforms it into actionable insights, which helps companies improve their product quality, manage compliance risks, and enhance regulatory surveillance. Redica Systems' solutions are utilized by over 200 leading firms to address complex GxP compliance challenges, enabling them to move from reactive to proactive strategies.

📋 Description

• Design, build, optimize, and maintain scalable ETL/ELT pipelines, APIs, and microservices for high-volume regulatory and health agency datasets • Troubleshoot data quality issues and implement automated testing, monitoring, and validation • Contribute to technical design and architectural decisions for the data platform • Integrate data pipelines with downstream NLP/ML services and search technologies, including the ELK stack • Support production deployments and troubleshoot pipeline and database issues • Resolve complex technical incidents • Collaborate with Engineering and Product teams to translate requirements into technical solutions • Mentor fellow engineers • Contribute to code reviews and provide technical guidance

🎯 Requirements

• Experienced Senior Data Engineer • Ability to design, build, optimize, and maintain scalable ETL/ELT pipelines, APIs, and microservices • Experience working with high-volume regulatory and health agency datasets • Ability to troubleshoot data quality issues • Experience implementing automated testing, monitoring, and validation • Ability to contribute to technical design and architectural decisions • Experience building scalable, maintainable data platform solutions • Experience integrating data pipelines with downstream NLP/ML services and search technologies • Experience with the ELK stack • Ability to support production deployments and troubleshoot pipeline and database issues • Ability to resolve complex technical incidents • Ability to collaborate with Engineering and Product teams • Ability to anticipate and adopt technology innovations • Ability to synthesize complex information and develop effective problem-solving strategies • Ability to make timely, high-quality decisions • Ability to optimize ETL processes and data warehousing • Ability to continuously improve performance and meet data-related deliverables

🏖️ Benefits

• Employees can work remotely • Mentorship opportunities • Opportunities to contribute to code reviews and provide technical guidance

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