This is a fully remote position, open to applicants in Czechia.

• Collaborate on the design and architecture of data solutions.

• Develop and sustain scalable ETL processes.

• Enhance data storage, processing, and analytics solutions.

• Adhere to best practices in CI/CD and infrastructure as code.

• Work in close partnership with cross-functional teams to deliver high-quality outcomes.

• Extensive hands-on experience with Azure Data Factory for data integration, orchestration, and pipeline development.

• Profound understanding of Snowflake, encompassing data modeling, performance optimization, and query tuning.

• Proficient in Databricks, PySpark, or Spark SQL for data transformation and large-scale data processing.

• Strong knowledge of data architecture, ETL/ELT design, and automation of data pipelines.

• Experience with cloud solutions, particularly within the Azure ecosystem.

• Familiarity with infrastructure as code; knowledge of Terraform is a significant advantage.

• Proficient in SQL and Python.

• Background in working with cloud-based data platforms and modern data engineering practices.

• Capability to design and implement scalable, secure, and efficient data solutions.

• Exceptional communication skills and the ability to collaborate across both technical and business teams.

• Proficient in English, both written and spoken.

• Demonstrated experience in data engineering roles with a focus on Azure and modern data stacks.

• Remote work arrangement.

• Commitment to diversity, equity, and inclusion.

Data Engineer – Tieto Tech Consulting

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