Senior Data Engineer (Healthcare)

• Work closely with the client (PO) and other Team Leads to clarify technical requirements and expectations
• Provide support where Team Lead’s support is required
• Implement architecture based on Azure cloud platforms (Data Factory, Databricks, and Event Hub)

• Design, develop, optimize, and maintain squad-specific data architectures and pipelines that adhere to defined ETL and Data Lake principles
• Discover, analyze, and organize disparate data sources and structure them into clean data models with clear, understandable schemas
• Contribute to the evaluation of new tools for analytical data engineering or data science
• Suggest and contribute to training and improvement plans related to analytical data engineering skills, standards, and processes
• Participate in pre-sale activities and work with potential opportunities in the data direction

• Proven experience in data engineering and hands-on work with cloud computing services, specifically Microsoft Azure
• Strong understanding of data analytics fundamentals, including dimensional modeling, ETL, reporting tools, data governance, data warehousing, and both structured and unstructured data
• Proficiency in SQL and Python
• Hands-on experience with Databricks and PySpark for data processing and modeling
• Familiarity with big data platforms such as Snowflake, BigQuery, etc.; experience with Snowflake is a plus
• Fluency in business English

PERSONAL PROFILE

• Excellent communication skills