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Data Quality Engineer
Remote in Georgia
Data Quality Engineering
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We are looking for a Data Quality Engineer to join our team and contribute to data governance processes, quality assurance, and the development of robust data platforms that support reliable data-driven decision-making.
Responsibilities
Play a role in the data governance processes, including data preparation, generation, data obfuscation, data integration, data slicing and data quality control
Prepare test data sets, perform data profiling and benchmarking
Perform testing of data ingestion pipelines, ETLs, APIs and integrations
Take part in designing and maintaining data platforms, data quality automation framework
Maintain QA environments, contribute to the CI/CD process establishment
Support customer inquiries on data quality issues and data consumption
Requirements
1+ years of hands-on engineering experience and practice in Data Management, Data Quality verification/Data Governance, Data Integration
Understanding of data ingestion pipelines, Data Lakes, ETL testing, DWH basics
Knowledge of CI/CD principles and best practices in data processing
Proficiency in SQL
Knowledge of Python (or other scripting languages)
Experience with one of the major cloud providers: AWS, Azure or GCP
Understanding of test automation
Experience in Data analysis & requirements validation
Experience in Test Case design and bug reporting
Analytical approach to problem solving; excellent interpersonal and communication skills
English proficiency at B2 level or higher
Nice to have
Knowledge of a few data processing technologies, e.g., Spark, Hadoop, Kafka, ElasticSearch, Python libraries (Pandas/NumPy/…)
Understanding of various ETL Tools (e.g., Databricks)
Understanding of Big Data principles
Familiarity with Linux and Bash scripting basics
Experience in Data Visualization testing
Experience in maintaining QA environments
Understanding of Data project Test Strategy creation and test planning
| Location | Atlanta, GA |
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