Lead Data Quality Engineer

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Lead Data Quality Engineer

Remote in Georgia

Data Quality Engineering

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We are looking for a Lead Data Quality Engineer to drive the data quality testing strategy across our products, collaborating with cross-functional teams to ensure data reliability, governance, and performance meet the highest standards.

Responsibilities

• Work with product, engineering and customer teams to understand requirements and implement a quality testing strategy, defining and setting up data quality metrics

• Design and implement a quality verification strategy for data products and ensure that all areas of the business perform according to the defined standards

• Define priorities, risks and attributes in the data quality testing strategy, as well as choose proper data tools

• Control and tune the data governance processes, including data preparation, generation, data obfuscation, data integration, data slicing and data quality control

• Prepare data quality environments and applications in compliance with the standards

• Design, monitor and maintain QA reports, KPIs and quality trends

• Collaborate with all teams involved in data solution development to ensure efficient task execution for achieving results

• Adhere to and promote quality standards

Requirements

• 5+ years of hands-on engineering experience and practice in Data Management, Data Quality verification/Data Governance and Data Integration

• Understanding of data pipelines, data lakes and ETL testing

• Experience in CI/CD principles and best practices in data processing

• Knowledge of SQL

• Proficiency in Python or other scripting languages

• Experience with one of the major cloud providers: AWS, Azure or GCP

• Experience in building up a test automation framework and maintaining QA environments

• Experience in data analysis and requirements validation

• Concrete experience in Data project Test Strategy creation, Test Planning, Test Case design and test result reporting

• Skills in infrastructure troubleshooting, support in performance tuning and optimization, and bottleneck problem analysis

• Experience in leading a team and in direct customer communications

• Analytical approach to problem solving, excellent interpersonal and communication skills, and English proficiency

Nice to have

• Familiarity with a few data processing technologies, e.g., Spark, Hadoop, Kafka, Elasticsearch, Python libraries (Pandas/NumPy/etc.)

• Understanding of various ETL Tools (e.g., Databricks)

• Knowledge of Linux and Bash scripting basics