TL;DR
Senior Data Engineer (Azure): Designing and developing robust data solutions and scalable pipelines with an accent on cloud-based architectures and automation. Focus on building performant data models, implementing ETL processes, and collaborating on high-quality technical deliveries within the Azure ecosystem.
Location: Remote (based in Czech Republic)
Company
A leading software and technology consulting company with over 14,000 experts, dedicated to empowering customers to innovate through mission-critical digital solutions.
What you will do
- Collaborate on the architecture and design of robust data solutions.
- Develop and maintain scalable ETL and ELT processes.
- Optimize data storage, processing, and analytics workflows.
- Implement data pipeline automation using CI/CD and infrastructure as code.
- Work with cross-functional teams to deliver high-quality, secure solutions.
Requirements
- Fluent English, both written and spoken.
- Strong hands-on experience with Azure Data Factory.
- Deep understanding of Snowflake, including data modeling and query tuning.
- Proficiency with Databricks (PySpark or Spark SQL) for large-scale processing.
- Solid knowledge of data architecture and pipeline automation.
- Strong SQL and Python skills.
Nice to have
- Experience with infrastructure as code, specifically Terraform.
- Proven track record within the Azure ecosystem.
Culture & Benefits
- Emphasis on diversity, equity, and inclusion in the workplace.
- Commitment to openness, trust, and fostering an inspiring innovation environment.
- Opportunity to work on mission-critical digital solutions across various industries.