Position: Senior QA Engineer
Company: Idealogic
Experience required: 5y
Category: QA Automation
English level: upper
Published: 2021-10-01T00:00:00+03:00

Our data infrastructure is developing, growing, and constantly improving. We primarily use Python and SQL, AWS cloud services, Snowflake data warehouse, and Airflow for workflow orchestration. We visualize data with Power BI. Our development environment leverages Docker. We practice infrastructure-as-code with Terraform, and we build continuous integration and deployment pipelines with Gitlab.

**What You Will Do:**
- Lead the collection, analyzing and testing of data for our data warehouse
- Be an expert in writing and executing test cases, managing and analyzing large sets of data, creating automation scripts and communicating relevant insights to the team
- Collaborate with other data professionals, engineers, and business operation experts to understand and address reporting needs
- Experience with both traditional and big data streaming
- Create and maintain complex SQL queries such as; type 2 triggers, various joins, aggregations, groupings and more
- Execute ETL jobs using orchestration tools (airflow/scheduler/SQL agent)
- Have a working knowledge and testing experience of ETL
- Possesses heavy experience with automation testing for ETL
- Highly detailed oriented
- Strong willingness & comfort taking on and challenging development approaches
- Conduct and facilitate UAT
- Previously worked in agile and scrum

**We offer:**
- Opportunity to work remotely or in comfortable offices (Kyiv, Zaporizhzhya)
- Competitive salary
- Strong team members
- Interesting tasks
- Educational and professional development support