Swoop
Swoop
Swoop farmatsevtika va hayot fanlari sohasidagi tashkilotlar uchun marketing yechimlarini ishlab chiqadi hamda bevosita iste’molchilar va tibbiyot xodimlari bilan muloqotga e’tibor qaratadi. Kompaniya faoliyati ijtimoiy tarmoqlar va televideniye kabi kanallar orqali bemorlar, tibbiyot xodimlari va brendlarni bog‘lashga yordam berish uchun sun’iy intellekt, ma’lumotlar hamda maxfiylikni hisobga oluvchi omnichannel kampaniyalarni birlashtiradi. Swoop marketing samaradorligini oshirish va bemorga yo‘naltirilgan sog‘liqni saqlash kommunikatsiyasini qo‘llab-quvvatlash uchun ushbu yondashuvdan foydalanadi.

Senior Data Engineer at Swoop — Toronto Hybrid

Lead NimbleRx’s compliant healthcare data platform, developing scalable pipelines, warehouse models, and AI tools that support pharmacy and patient-engagement operations.

Tavsif

  • Own the full data platform lifecycle, from ingestion and transformation through storage, querying, and access
  • Shape the data platform roadmap as the company’s data requirements expand
  • Build and improve batch and streaming pipelines with PySpark/EMR, Kinesis, Lambda, and Step Functions
  • Bring data from Postgres, Salesforce, external vendors, and product event streams into an Iceberg-based lake
  • Define SCD tables, event tables, and data standards for engineering and analytics teams
  • Work with product, engineering, analytics, and operations partners to turn data needs into dependable pipelines
  • Create documentation and tools that enable other teams to work independently with data
  • Manage security and compliance capabilities, including audit logs, access controls, and temporary-access processes
  • Improve backend query performance in Java/Spring services through replica routing, indexing, caching, and I/O instrumentation
  • Investigate and resolve IOPS spikes, pipeline failures, schema drift, and delayed data
  • Apply AI to pipeline scaffolding, schema development, and ad hoc investigations
  • Deliver internal AI tools for use by other teams
  • Coach engineers and analysts on effective use of the data platform

Talablar

  • At least five years of experience building production data pipelines and data platforms
  • Advanced Python, PySpark, and SQL skills, including tuning Spark workloads at scale
  • Ability and willingness to contribute to Java and Spring Boot services surrounding the data layer
  • Practical experience with distributed computing such as Spark/EMR, streaming through Kinesis, and object storage on S3
  • Strong Postgres knowledge, including query tuning, indexing, replication, replica routing, and diagnosing database bottlenecks
  • Experience with Iceberg and Trino, or comparable technologies
  • Familiarity with CI/CD and Terraform
  • Experience building with AI, frontier models, or agentic coding tools
  • Demonstrated ability to collaborate across product, operations, and other teams
  • Current authorization to work in Canada is strongly preferred
  • Willingness to treat security and PII/PHI handling as core engineering responsibilities

Imtiyozlar

  • Opportunities for professional development
  • Hybrid working arrangement
  • Visa sponsorship may be considered exceptionally for highly qualified candidates with specialized skills

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