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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Quality Engineer - **Company:** EPAM Systems, Inc. - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Bash Shell, Cloud Computing, Databases, Continuous Delivery, Continuous Integration, Data Cleansing, Data Governance, Data Integration, Extract Transform Load (ETL), Linux, Elasticsearch, Apache Hadoop, Python (Programming Language), NumPy, Performance Tuning, Standard Sql, SQL Databases, Test Case, Strategies of Testing, Data Processing, Scripting, Apache Spark, Pandas, Data Lakes, Apache Kafka, Data Management, Data Pipelines, Databricks - **Published:** October 3, 2026 - **Apply:** https://www.careerbuilder.com/job-details/lead-data-quality-engineer-atlanta-ga--2af9d77e-c778-46a8-8085-063c11a9f8bd ## About the Role * 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 Skills: Amazon Web Services (AWS), Analysis Skills, Apache Hadoop, Apache Spark, Best Practices, Cloud Computing, Communication Skills, Concrete, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Analysis, Data Management, Data Processing, Data Quality, Database Extract Transform and Load (ETL), Elasticsearch, Engineering, English Language, GCP (Good Clinical Practices), Identify Issues, Interpersonal Skills, Leadership, Microsoft Windows Azure, Performance Metrics, Performance Tuning/Optimization, Problem Solving Skills, Product Engineering, Python Programming/Scripting Language, Quality Assurance, Quality Engineering, Quality Metrics, Requirements Validation/Verification, SQL (Structured Query Language), Standards Development, Strategic Planning, Team Lead/Manager, Test Automation, Test Case, Test Design, Test Plan/Schedule, Test Strategy, Trend Analysis ## Description 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., * 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The 8 Best Code Testing Tools](https://www.wearedevelopers.com/magazine/402-the-8-best-code-testing-tools)