Senior Data Engineer – Healthcare Domain

This is a fully remote position, open to applicants in Germany, +1 more country.

📋 Description

• Collaborate with the Product Owner and team leaders to establish and design effective pipelines and data schemas.

• Construct and manage infrastructure utilizing Terraform for cloud platforms.

• Architect and execute large-scale cloud data infrastructure, self-service tools, and microservices.

• Handle substantial datasets to enhance performance and guarantee smooth data integration.

• Create and sustain squad-specific data architectures and pipelines that adhere to ETL and Data Lake methodologies.

• Identify, analyze, and organize various data sources into clear and comprehensible schemas.

⛳️ Requirements

• Practical experience with cloud computing services related to data and analytics.

• Background in data modeling, reporting tools, data governance, and data warehousing.

• Expertise in Python and PySpark for distributed data processing tasks.

• Familiarity with Azure, Snowflake, and Databricks.

• Proficient in utilizing Docker and Kubernetes.

• Understanding of infrastructure as code principles, specifically Terraform.

• Advanced SQL capabilities and knowledge of big data databases like Snowflake and Redshift.

• Experience with stream processing technologies, including Kafka and Spark Structured Streaming.

• At least an Upper-Intermediate level of English proficiency.

🏝️ Benefits

• Remote work format.

• Flexible collaboration with international teams.

• A supportive work environment.

• Opportunities to engage with cutting-edge technologies.

• Potential for professional development.