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Data Engineer at Nordhealth | JobVerse
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Data Engineer
Nordhealth
Remote
Website
LinkedIn
Data Engineer
Finland
Full Time
2 weeks ago
No Sponsorship
Apply Now
Key skills
ETL
PySpark
Python
SQL
Tableau
Data Engineering
Looker
Databricks
dbt
CI/CD
About this role
Role Overview
Design, build, and maintain scalable and reliable data pipelines using Python, PySpark, and SQL
Develop and optimize data transformations and ETL processes, ensuring data accuracy and relevance for our clients
Collaborate with Product Managers and Designers to understand data requirements and deliver effective solutions that meet client needs
Build scalable and discoverable data models in SQL and maintain detailed documentation for each
Implement data quality checks and monitoring to ensure data accuracy and integrity
Optimize data storage and retrieval for performance and cost efficiency
Contribute to cluster optimization and maintenance
Document data engineering processes and best practices
Requirements
At least 2-4 years of experience in a Data Engineering role
Proficiency in Python (core + dataframes)
Focus on Object-Oriented Programming and modularity
Experience with PySpark for large-scale data processing
Solid SQL skills, including the ability to write complex queries and quality checks
Proven experience in data modeling and query optimization
Experience with Databricks is a big plus, experience with DBT is required
Experience with databases like ClickHouse is a big plus
Experience with data visualization tools (e.g., Tableau, PowerBI, Looker) is a plus
Knowledge of DevOps principles, CI/CD practices and security is an advantage
Full proficiency in English, written and spoken.
Tech Stack
ETL
PySpark
Python
SQL
Tableau
Benefits
The chance to work in a meaningful industry and in a fast-growing, global company on a path to changing digital healthcare
Competitive compensation and benefits
Learning and professional growth opportunities
The tools you need, and enjoy using
Frequent company events and talented colleagues from around the world
Apply Now
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