Expert Data Consultant

GFT Poland is an IT engineering and consulting company with over 1200 experts, specializing in deep tech and delivering products that contribute to a sustainable world. They are recognized as Google Cloud Partner of the Year and focus on ambitious projects, trainings, and tools for skill development.

• 10+ years of professional software engineering experience
• Recent hands-on experience with Python and PySpark over the last 2-3 years
• Experience with Java or C#
• Strong experience working on Unix platforms including file operations, permissions, environments, and data analysis
• Hands-on experience designing and developing ETL and data solutions using Python
• Experience with data ingestion, transformation, cleansing, loading, and reporting processes
• Experience with Shell scripting
• Experience with Autosys
• Experience working with Oracle databases
• Ability to gather business requirements and break them down into implementable technical tasks
• Experience with CI/CD pipelines and GitLab
• Good understanding of software development lifecycle within Agile environments
• Strong knowledge of Microsoft Azure platform
• Experience with ADLS
• Experience with Azure Key Vault
• Experience with Databricks

Nice to have:

• Experience with AI-powered development tools such as GitHub Copilot
• Experience creating automation agents and AI-based productivity solutions

• Design and develop ETL and data processing solutions using Python and PySpark
• Build and maintain cloud-based data platforms and pipelines
• Analyze business requirements and translate them into technical solutions and implementation plans
• Develop data ingestion, cleansing, transformation, loading, and reporting processes
• Work with Azure services including ADLS, Azure Key Vault, and Databricks
• Create and maintain CI/CD pipelines using GitLab
• Develop and maintain Shell scripts and scheduling solutions
• Collaborate with stakeholders in an Agile delivery environment
• Support data analysis and troubleshooting on Unix platforms
• Ensure high quality, scalability, and reliability of data solutions