Job Description:
• Design, build, and maintain robust data pipelines to support AI and analytics initiatives.
• Collaborate with cross-functional teams (AI, engineering, business) to define data requirements and architecture.
• Implement scalable data solutions leveraging cloud technologies (Azure, GCP, Snowflake).
• Optimize ETL workflows and ensure data quality, consistency, and security.
• Support advanced analytics, predictive modeling, and real-time insights delivery.
• Contribute to the long-term AI and data strategy for the organization.
Requirements:
• 10+ years of experience as a Data Engineer / Analytical Engineer, ideally in healthcare, eCommerce, or large digital platforms.
• Proven expertise with Azure Databricks, Google BigQuery, and Snowflake.
• Strong hands-on experience with ETL tools — Azure Data Factory (ADF), DBT, and Power BI.
• In-depth understanding of modern data stack architectures, including Medallion architecture and real-time streaming (Kafka).
• Demonstrated ability to design and deliver scalable, secure, and high-performance data infrastructures that enable actionable analytics.
• Strong problem-solving mindset and proactive approach to AI-driven data innovation.
Benefits:
• 20 business days of paid vacation.
• Comprehensive medical insurance (for employee and family).
• Pension contribution (3% covered by employer).
• Short- and long-term disability insurance.
• Life insurance.
• Opportunity to join a fast-growing AI practice shaping the future of healthcare technology.
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