Lead Data Quality Engineer

About the Position

Lead Data Quality Engineer

Location: Remote, Georgia

We are seeking a Lead Data Quality Engineer to drive the data quality testing strategy across our products, ensuring 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

We Offer

• Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
• Opportunity to work abroad for up to two months per year
• Relocation opportunities within our offices in 55+ countries
• Corporate and social events
• We invest in your growth: Leadership development, career advising, soft skills, and well-being programs
• Certifications, including GCP, Azure, and AWS
• Unlimited access to EPAM's internal learning database
• Free English classes with certified teachers
• We cover it all: Participation in the Employee Stock Purchase Plan, monetary bonuses for engaging in the referral program, comprehensive medical & family care package, five trust days per year (sick leave without a medical certificate), and benefits package (sports activities, a variety of stores and services)