Who We Are
Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada's largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across various service offerings: Web, Mobile & Digital Marketing | Enterprise AI | Customer Care AI & Technology | Enterprise Technology Modernization
From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
Location & Flexibility
India Hybrid: Noida
This is a hybrid role. This model requires the ability to work in a hybrid mode from our office in Noida/Bengaluru (1 to 2 times/ week). Our office culture is designed to foster in-person innovation, collaboration, and connection with team members, local and visiting, from other global offices.
As an Applications Development Module Lead, you will work on the the FHIR4 Extract Pipeline - a sophisticated batch/streaming data processing framework that transforms healthcare data from sources like MedAccess EMR, laboratory systems, and clinical devices into FHIR R4 compliant resources. You'll collaborate with healthcare IT professionals, data scientists, and clinical experts to ensure our pipeline meets the demanding requirements of real-time healthcare data processing.Here's the impact you'll make and what we'll accomplish together.
Responsibilities
- Strong experience with Apache Pyspark and/or Flink or similar distributed stream processing frameworks (Kafka Streams, Apache Storm)
- Knowledge of FHIR R4 standards and healthcare data interoperability concepts.
- Experience with Python data processing libraries (Pandas, PyArrow) and dataframe abstractions like Ibis.
- Proficiency in SQL and understanding of complex data transformations and joinsExperience with Apache Kafka for real-time data streaming and event-driven architectures.
- Hands-on experience with containerization (Docker) and Kubernetes orchestrationUnderstanding of healthcare data sources (EMRs, laboratory systems, clinical devices) and clinical workflows.
- Experience with Google Cloud Platform services, particularly BigQuery, Cloud Storage, and GKEStrong analytical and problem-solving skills with attention to data quality and clinical accuracy.
- Experience with modern development practices including Git, CI/CD, and automated testingAbility to work independently and collaboratively in a fast-paced healthcare technology environment
Qualifications
- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
Bonus Points
Experience with PyFlink (Python API for Apache Flink) and Flink SQL Knowledge of FHIR/HL7 standards, clinical terminologies (SNOMED, LOINC, ICD-10), and healthcare data governance.
Experience with Pixi environment management and modern Python dependency management Familiarity with Apache Iceberg or other modern data lake storage formats.
Experience with Flink Kubernetes Operator and cloud-native deployment patterns Knowledge of healthcare compliance requirements (HIPAA, PIPEDA) and data privacy considerations.
Experience with monitoring and observability tools for distributed systems (Prometheus, Grafana)Background in clinical informatics, health information management, or biomedical engineering.
Experience with EMR systems like MedAccess, Epic, or Cerner Familiarity with Palantir Foundry, Databricks or similar data integration platforms Understanding of real-time vs. batch processing trade-offs in healthcare data systems
Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants qualifications, merits, competence and performance without regard to any characteristic related to diversity.
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