About the role:

Are you ready to take on the challenge of building robust data solutions for cutting-edge Data & AI initiatives? As a Data Engineer, you’ll be at the forefront of developing and optimizing data pipelines and architectures that enable Data & AI models to deliver transformative insights. Join us to shape the future of digital healthcare with data-driven innovation.

Job Description

About the tech stack:

Azure Fabric, Azure Databricks, PySpark, Apache Spark, Python, SQL, Azure Data Platform, DBT, Snowflake, Docker, Kubernetes.

About your tasks:

• Design and build scalable data pipelines that power high-impact data products across multiple business domains.
• Drive cloud data migration initiatives, helping modernize existing platforms and supporting the transition to Azure-based solutions.
• Transform and optimize large-scale datasets to enable reliable reporting, analytics, and business decision-making across the organization.
• Collaborate closely with Data Analysts, ML Engineers, DevOps Engineers, Backend Developers, Product Managers, and business stakeholders to deliver robust end-to-end data solutions.
• Contribute to engineering best practices by promoting clean, maintainable code, automation, and continuous improvements across the data platform.
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