Staff Data Platform Engineer

Posted 25 days agoViewed

💎 Seniority level: Staff, 8+ years with a BS, 6+ years with a MS, or 3+ years with a PhD

📍 Location: India

🔍 Industry: Healthcare

⏳ Experience: 8+ years with a BS, 6+ years with a MS, or 3+ years with a PhD

🪄 Skills: AWSPythonETLKafkaData engineeringTerraform

Have 8+ years of related experience with a BS, 6+ years with a MS, or 3+ years with a PhD.
Demonstrated significant track record of delivery.
At least 4 years of experience dealing with regulated data in a startup environment.
Deep experience with AWS technologies such as Redshift, S3, MSK, and Lake Formation.
Proficiency in Kafka and distributed systems.
Expertise in programming languages like Clojure or Python for data applications.
Experience in converting data science projects into usable product modules.
Familiarity with systems engineering and orchestration tools like Terraform.
Notable open-source contributions to relevant communities.

Support the development of next-generation, privacy-aware data architecture using technologies like Kafka and AWS.
Prototype new algorithms for data products.
Build and scale data ingestion and ETL processes.
Familiarize with regulatory frameworks like HIPAA and GDPR.
Guide development of technical solutions for challenging problems.
Drive best practices for high-performance, large-scale systems.
Present proposals at architectural design reviews.
Deliver large features and improvements independently.
Focus on ethical data practices and business needs.

Posted 6 months ago

📍 India

🔍 Healthcare and clinical research

🔧 Requirements

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.

💡 Responsibilities

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.

AWSPythonETLKafkaAlgorithmsData engineeringData science

Posted 6 months ago