Senior Data Engineer (Healthcare domain)

Вимоги

• Experience in data engineering and cloud computing services and solutions in the area of data and analytics, Azure is preferable
• Conceptual knowledge of data analytics fundamentals, such as, dimensional modeling, ETL, reporting tools, data governance, data warehousing, and structured and unstructured data
• Knowledge of SQL and experience with at least one programming language (Python or Scala)
• Understanding of big data databases such as Snowflake, BigQuery, etc.. Snowflake is preferable
• Experience in database development and data modeling, ideally with Databricks or Spark
• Fluency in business English

Професійний профайл

Personal profile

• Excellent communication skills

Обов'язки

• Work closely with the client (PO) and other team leads to clarify technical requirements and expectations
• Coordinate and supervise your team (up to 4 team members), track performance, and provide support where TL’s support is required
• Implement architectures based on Azure cloud platforms (Data Factory, Databricks, Event Hub)
• Design, develop, optimize, and maintain squad-specific data architecture 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 and 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