Itransition is seeking a skilled Data Analysis Engineer to join our team and ensure the accuracy, consistency, and reliability of complex data systems. You will play a crucial role in maintaining high data standards while working on innovative projects for global industry leaders.
Key responsibilities
- Validate and test ETL/ELT workflows to ensure data integrity across various pipelines.
- Develop and maintain test scripts using Python and PyTest to automate data quality checks.
- Perform complex SQL queries to validate large datasets and ensure consistency.
- Collaborate within an Agile environment using tools like JIRA and Confluence to track progress and documentation.
- Monitor and troubleshoot data dashboards to ensure accurate reporting for stakeholders.
Requirements
- At least 2 years of professional experience in Python and PyTest for test scripting.
- Minimum 1 year of experience working on data-centric or analytics-focused projects.
- Strong proficiency in SQL for querying, manipulating, and validating large-scale datasets.
- Hands-on experience with dbt and Snowflake platforms.
- Excellent analytical and problem-solving skills with a high level of attention to detail.
- Proficiency in English at a B2 level or higher.
What we offer
- Opportunity to work on high-impact projects for renowned global clients such as PayPal, Philips, and Adidas.
- A structured career development system with clear paths for professional growth and skill advancement.
- Flexible working hours designed to support a healthy work-life balance.
- A fully remote work environment allowing you to contribute from anywhere in Poland.