Data analysis (regular) CI/CD (regular) Data testing (regular) Data Visualization (regular) Data (regular)
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.
You can work remotely or join one of our offices, which are located in Krakow, Wroclaw, Warsaw, Gdansk and Katowice.
The remote option applies only to the Candidates who will be working from any location in Poland.
DESCRIPTION We are currently looking for Data Quality Engineers to join Data Practice team and work with EPAM strategic clients. We are supporting Employment Contract or B2B, depending on your preferences.
As Data Quality Engineer you will be providing continuous automated and manual testing of large scale traditional and cloud-based Enterprise DWH as well as identifying gaps in the quality assurance and testing, processes, helping create and implement quality processes and requirements.
RESPONSIBILITIES
Work with product and engineering and customer teams to understand requirements to implement quality testing strategy
Creating test plans and test cases, manage continuous integration and regression testing processes
Designing and Implement quality verification of data products strategy and ensure that all areas of the business needs performing according to the defined standards
Defining priorities, risk and attributes in quality testing strategy as well as choosing proper Data tools
Preparing Data Quality environments and applications in compliance with the standards
Preparing test data sets, perform data profiling and benchmarking
Designing, monitoring, and maintaining QA reports, KPIs & quality trends
Perform data verification according to GDPR and other security rules
Collaboration with all teams involved in Data Solution Development to ensure efficient tasks execution for achieving results
Creating test artifacts and deliverables according to the Engineering Excellence (EngX)
REQUIREMENTS
Engineering experience and practice in Data Management, Data Quality verification/Data Governance, Data Visualization testing, Data Integration
Familiar with testing methods - TDD, BDT, DDT
Familiar with concepts of data ingestion pipelines, data storages like: OLTP databases, Data Warehousing, Data Lakes
Knowledge and practical experience in validation of data management systems
Understanding of CI/CD principles and best practices in data processing
Analytical approach to problem solving; excellent interpersonal and communication skills
Experience in Data analysis & requirements validation
Ability to work in a fast-paced (startup like) agile development environment
Experience in direct customer communications
Skills in infrastructure troubleshooting, support in performance tuning and optimization, bottleneck problem analysis
English proficiency
WE OFFER
Vast opportunities for self-development: online courses and library, experience exchange with colleagues around the world, partial grant of certification
English language classes
Polish language classes for Foreigners
Career development center
Unlimited access to LinkedIn learning solutions
Possibility to relocate for short and long-term projects (ex. to USA or Switzerland)
Benefit package (private insurance, health care, multisport, lunch tickets, and shopping vouchers, etc.)
Possibility to be involved in an international project
Remote work options
Mentoring programs with experts that will help you to grow
Discount on Apple products up to 10%
Relocation package for foreign applicants as well as for people relocating within Poland
Employment Contract or B2B, depending on your preferences