data quality engineer (auto)

The team contributes to data governance, quality assurance, and the development of robust data platforms that support reliable data-driven decision-making.

• Contribute to data governance processes, including data preparation, generation, obfuscation, integration, slicing, and quality control
• Prepare test datasets and perform data profiling and benchmarking
• Test data ingestion pipelines, ETLs, APIs, and integrations
• Participate in designing and maintaining data platforms and a data quality automation framework
• Maintain QA environments and contribute to establishing the CI/CD process
• Support customer inquiries about data quality issues and data consumption

• 1+ Years of hands-on engineering experience and practice in Data Management, Data Quality verification/Data Governance, or Data Integration
• Understand data ingestion pipelines, Data Lakes, ETL testing, and DWH basics
• Know CI/CD principles and best practices in data processing
• Proficiency in SQL
• Knowledge of Python or other scripting languages
• Experience with AWS, Azure, or GCP
• Understand test automation
• Experience in data analysis and requirements validation
• Experience in test case design and bug reporting
• Analytical approach to problem-solving and excellent interpersonal and communication skills
• English proficiency at B2 level or higher
• Будет плюсом: knowledge of Spark, Hadoop, Kafka, ElasticSearch, or Python libraries such as Pandas and NumPy; understanding of ETL tools such as Databricks and Big Data principles; familiarity with Linux and Bash scripting basics; experience in data visualization testing and maintaining QA environments; understanding of data project test strategy creation and test planning

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