Expert Data Engineer – Analytical Engineer, AI Initiative – Healthcare, Retail
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. Apply tot his job Apply tot his job