TL;DR
Senior Data Engineer (Azure, Snowflake): Designing and developing robust data solutions for scalable data pipelines with an accent on architecture, ETL processes, and optimization. Focus on implementing best practices in CI/CD and infrastructure as code within the Azure ecosystem, and ensuring high-quality data solutions.
Location: Remote from Czech Republic
Company
Tieto is a leading software and digital engineering services company with global market reach and capabilities, specializing in mission-critical solutions across various industries.
What you will do
- Collaborate on the architecture and design of data solutions.
- Develop and maintain scalable ETL processes.
- Optimize data storage, processing, and analytics solutions.
- Ensure best practices in CI/CD and infrastructure as code.
- Work closely with cross-functional teams to deliver high-quality solutions.
Requirements
- Strong hands-on experience with Azure Data Factory for data integration, orchestration, and pipeline development.
- Deep understanding of Snowflake for data modeling, performance optimization, and query tuning.
- Proficiency with Databricks (PySpark or Spark SQL) for data transformation and large-scale data processing.
- Solid knowledge of data architecture, ETL/ELT design, and data pipeline automation.
- Experience with cloud solutions, ideally within the Azure ecosystem.
- Strong SQL and Python skills.
- Fluent English, both written and spoken.
Nice to have
- Experience with infrastructure as code (IaC) – Terraform knowledge.
Culture & Benefits
- Believes in the power of diversity, equity, and inclusion.
- Encourages applicants of all backgrounds, genders, and walks of life.
- Fosters an inspiring workplace and fuels innovation.
- Committed to openness, trust, and diversity.
- Mission to create digital futures that benefit businesses, societies, and humanity.
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