Middle Data Engineer (Healthcare Domain) - Remote

Overview

Sigma Software is looking for a motivated Data Engineer to join our expanding engineering team. If you want to work in a close-knit team of Data Engineers solving complex problems using advanced data collection, transformation, analysis, and monitoring, then this opportunity is for you.

In Short

• Implement architecture 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, understand, and organize disparate data sources and structure them into clean data models with clear, understandable schemas.
• Contribute to evaluating new tools for analytical data engineering or data science.
• Suggest and contribute to training and improvement plans for analytical data engineering skills, standards, and processes.

Requirements

• Experience in data engineering and with cloud computing services solutions in the area of data and analytics, preferably with Azure.
• Conceptual knowledge of data analysis fundamentals, e.g., dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
• Knowledge of SQL and experience with the Python programming language.
• Excellent communication skills and fluency in business English.
• Understanding Big Data databases, such as Snowflake, BigQuery, etc. Snowflake is preferred.
• Experience with database development and data modeling, ideally with Databricks or Spark.

Benefits

• Opportunity to work in the healthcare domain with a focus on patient-centered innovation.
• Engage in a close-knit team environment.
• Work with advanced data technologies and tools.
• Contribute to projects that improve patient outcomes and experiences.