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ODAIA

AI-powered pharma HCP targeting analytics

Data Implementation Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 3 years of experience with data migration, extract, transform, and load (ETL), and pipeline tools.
  • At least 3 years of hands-on experience with Snowflake and AWS, such as Glue and S3, or equivalent cloud data infrastructure.
  • Strong proficiency in Python and SQL.
  • Experience with application programming interfaces (APIs) and integration frameworks.
  • Strong problem-solving skills and a customer-centric mindset, with comfort owning ambiguous technical problems directly with customers.
  • Communication skills sufficient to translate between technical and non-technical stakeholders.

Responsibilities

  • Work directly with customers to discover, assess, and integrate their data assets into the platform.
  • Collaborate with customers, the support team, and other internal teams to define technical requirements and triage reported issues for each implementation.
  • Configure and deploy platform solutions tailored to each customer, connecting them with their existing systems.
  • Build and maintain automated ETL workflows using tools such as Snowflake and AWS Glue to enable repeatable, high-quality data ingestion.
  • Troubleshoot issues across the data pipeline, from ingestion and transformation through orchestration and system configuration, and lead resolution efforts.
  • Own the weekly data delivery cycle for assigned customers, proactively resolving issues to keep deliveries on time and error-free.
  • Identify recurring manual work in the implementation and delivery process, including manual trigger steps, and automate it to improve scalability.
  • Uphold data security and privacy protocols in line with industry standards.

Desired Qualifications

  • Familiarity with orchestration tools such as Dagster or Airflow and config-driven or declarative pipeline systems such as dbt.
  • Experience in the life sciences or pharmaceutical industry, including familiarity with tools such as Veeva Vault or Salesforce.

About the Company

ODAIA

AI-powered pharma HCP targeting analytics

ODAIA provides AI-powered predictive analytics and commercial insights for the pharmaceutical and healthcare sector through a SaaS platform called MAPTUAL. MAPTUAL helps identify, qualify, and engage healthcare providers, reducing the time it takes for therapies to reach patients. The platform has two main solutions: MAPTUAL Field, which helps sales teams target, predict, and engage HCPs, especially in declining markets or new markets; and MAPTUAL Sphere, which supports marketing teams and sales managers with real-time, historical, and future analytics across HCP segments and regions. ODAIA’s approach combines proprietary analytics with human-centric insights to enable better decision-making and faster therapy delivery, aiming to guide humans toward improved health journeys.

Company size
51-200
Company stage
Series B
Total funding
$43.4M
Headquarters
Toronto, Canada
Founded
2018

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