Position: Data Quality Engineer with Informatica
Company: DataArt
Category: QA
Experience required: 5y
English level: upper

DataArt is looking for a seasoned Data QA with hands-on ETL testing experience in Poland or Ukraine.

**Client**
The Client is a global purpose-led, science-based company specializing in health and nutrition. Their purpose is to create brighter lives for all. They achieve it by using all the scientific and innovation power at their disposal to tackle some of the world's greatest challenges - creating value for customers, shareholders, people, and society-at-large.

**Position Overview**
The purpose and objectives of the role:
* Implement data quality processes, including transliteration, parsing, analysis, standardization, enrichment at point of entry, and batch modes;
* Deploy mappings that will run in a scheduled, batch or real-time environment;
* Document all mappings, mapplets, and rules in detail - hand over documentation to the customer;
* Collaborate with various business and technical teams to gather requirements around data quality rules, propose optimizing these rules if applicable, and design and develop rules with IDQ.

**Technology Stack**
A suite of data capabilities:
* Data Profiling and Data Integration
* Data Catalog (technical metadata and lineage)
* Data Quality (profiling, monitoring, etc.)
* Reference Data and MDM

**Requirements**
- Strong analytical skills, and process design and analysis
- Strong desire to learn new skills and apply this to solve immediate business issues
- 5+ years of hands-on experience with Data Quality toolsets
- Experience with Informatica
- Proficiency in Data quality development around data profiling, cleansing, parsing, standardization, verification, matching, and data quality exception monitoring and handling
- Knowledge of the Data Management platforms as a whole and the integration among different components and services
- Have good skills in understanding and developing business rules
- Knowledge of MDM concepts and implementation of the de-duplication process
- Good communication and presentations skills
- Ability to multi-task with strong attention to detail and analytical skills
- Good English

**Nice to have**
- Degree in a technical or numerate discipline
- Knowledge of data management and its practical application in an organisation
- Understand risk management principles and risk frameworks
- Experience with defining and implementing new software tools within a business
- Basic SQL useful but not essential