Staff Data Platform Engineer

Posted 6 months agoViewed

💎 Seniority level: Staff, 8+ years with a BS, 6+ years with a MS, or 3+ years with a PhD; equivalent work experience may substitute

📍 Location: India

🔍 Industry: Healthcare and clinical research

🗣️ Languages: English

⏳ Experience: 8+ years with a BS, 6+ years with a MS, or 3+ years with a PhD; equivalent work experience may substitute

🪄 Skills: AWSPythonETLKafkaAlgorithmsData engineeringData science

8+ years of related experience with a BS, 6+ years with a MS, or 3+ years with a PhD; equivalent work experience may substitute.
Significant track record of delivery.
At least 4 years in a startup dealing with regulated data.
Deep experience with AWS (Redshift, S3, MSK, LakeFormation), Kafka, distributed systems.
Expertise in Clojure or Python for data applications.
Ability to develop data science projects into modules for products.
Experience in systems engineering and deploying distributed data architecture.
Notable open-source contributions to data engineering or science.

Support the development and expansion of privacy-aware data architecture.
Prototype new algorithms or intelligence modules for data products.
Build, scale, and integrate data ingestion and ETL processes.
Become familiar with HIPAA, GDPR, and other regulatory frameworks.
Represent the Data team to external parties.
Guide solutions for challenging problems and influence the Data Engineering roadmap.
Drive best practices for high-performance systems.
Present proposals at architectural design reviews.
Deliver features and improvements with minimal guidance.
Focus on ethical data practices and business needs.