Overview
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are searching for an experienced Senior Data Quality Engineer to join our motivated team.
Responsibilities
- Define, architect, and maintain advanced tooling and processes for enterprise-grade data quality management
- Implement and enforce scalable and robust data quality validations in complex ETL pipelines
- Develop comprehensive monitoring dashboards and automated alerts for continuous data quality assurance
- Collaborate with cross-functional teams to design workflows for ingesting, profiling, and standardizing diverse external data sources
- Leverage SQL and Python to create optimization strategies and elevate data quality metrics
- Utilize AWS services for automated data profiling and validation, with a specific focus on S3 and related tooling
- Guide clients in resolving complex data quality challenges while offering clear communication and tailored solutions
- Mentor team members while driving independent execution of tasks in an ambiguous, fast-paced environment
- Foster a culture of ownership, transparency, and proactivity within the team and with stakeholders
Requirements
Extensive experience of over 3 years in Data Quality Engineering or related roles, with a proven ability to design and implement scalable processesSignificant experience automating data quality checks in ETL pipelines and creating sophisticated dashboards and alerting systemsAdvanced expertise in SQL and Python to analyze, enhance, and optimize data quality standards efficientlyStrong background in AWS services, including advanced data profiling techniques and workflows with S3Proven track record in client-facing roles with excellent communication skills and a proactive approach to stakeholder collaborationExceptional ability to lead tasks independently while consistently delivering results in dynamic, high-pressure environmentsCommitment to thriving in a fast-paced startup environment with transparent processes and collaborative workflowsEnglish level B2 or higher to enable professional and effective communicationNice to have
Advanced expertise with Glue Data Quality for comprehensive profiling and validationHands-on experience with Databricks and PySpark for high-performance big data analyticsIn-depth familiarity with diverse data quality frameworks or tools such as Great Expectations, SODA, or equivalentWe offer
International projects with top brandsWork with global teams of highly skilled, diverse peersEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn#J-18808-Ljbffr