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Sr. Data Engineer - 1898271

Title: Sr. Data Engineer 33087 🚀🌟

🌴 Location: Must be a resident of Puerto Rico.

💻🏡 Hybrid/Virtual/Remote work available on Administrative Shifts.

Positions: 1


SUMMARY

This role focuses on developing valuable data products across the Operations Domain (Process Development, Supply Chain, Quality, Engineering, Manufacturing). Life Sciences present a unique and challenging data environment due to the integration of scientific research, manufacturing, and pharmaceutical logistics. Expect to contribute significantly to providing patients with competitive medical products. 🌍💊


Preferred Qualifications

  • Strong leadership and communication skills 🗣️👥
  • Technical writing experience 📝✍️
  • Proficiency in MS Office Suite 🖥️📊
  • Demonstrated Project Management skills 📈🔧
  • Strong organizational skills, with a focus on task completion 📚✅
  • Knowledge of Quality Management Systems (QMS) and metrics 📊📉
  • 5+ years of experience designing complex data models for analytic and Machine Learning use cases 📊💡
  • 5+ years of experience architecting and building data processes from multiple source systems 🛠️💻
  • Experience with data modeling and tuning in relational and NoSQL datastores 🔄🔍
  • Proficiency with distributed computing tools (e.g., Spark, Hive) and AWS cloud services ☁️💻
  • Familiarity with data pipeline and workflow management tools (e.g., Airflow) 🔄⚙️
  • Strong programming skills in languages like Java, Python, or JavaScript 🐍💻
  • Experience with agile development methodologies (Sprint, Scrum) 🔄🏃
  • Knowledge of software engineering best practices and DevOps 🔧🚀
  • Experience with Semantic technologies and approaches is a plus 🧠💡
  • Biotech/Pharma industry experience is advantageous 💊💉
  • Full stack development using AWS and cloud-native tools is a plus 🌐☁️


Educational/Software Requirements

  • Doctorate or Master's degree in Engineering with 3 years of experience, or Bachelor's degree in Engineering with 5 years of experience 🎓📚


FUNCTIONS

  • Define and approve data engineering design patterns for re-use 🔄✅
  • Collaborate with Data Architects, Business SMEs, and Data Scientists to architect data products 🏢👩‍💻
  • Build data products and services for data transformation, metadata extraction, workload management, and error processing 🛠️📊
  • Implement standardized, automated operational and quality control processes 🔄📈
  • Drive exploration and adoption of new tools and propose data pipeline improvements 🛠️💡
  • Integrate data platform with Data Scientist workbench and Analytic Tools 🔄🔍
  • Create prototypes and demonstrations for better data asset utilization 🛠️💡
  • Present analysis ideas and results to leadership and business partners 📊💡
  • Ensure systems meet business requirements and industry best practices 🛠️🔧
  • Assure compliance with regulatory, security, and privacy requirements for data assets 🛡️🔒


Ready to join our dynamic team? Send your updated resume to careers@proqualitynet.com with the subject line: Sr. Data Engineer 33087. 📩 We look forward to hearing from you! 🚀🌟








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