Position: Data Quality Engineer
Company: Avenga
Category: QA Automation
Experience required: 3y
English level: upper

The customer is an American third-party logistics company that owns warehouses and provides inventory and order management on behalf of its customers. The project is a cloud-based warehouse management system (WMS) solution with a user-friendly interface built to meet the unique needs of the warehousing community.

 As a Data Quality Engineer, you will be a member of an agile team environment and you will learn, practice, and drive the quality best practices we use that help make our software the industry leader. Coordination, planning, execution, automation scripting, and driving root cause and corrective actions are only a few of the many activities your work will entail.

At Perfectial, we’re committed to our projects, customers, having fun and most importantly to each other’s success

If you are passionate about revolutionizing the world logistics, get in touch with us today!

We'll be happy to have you on board!

**Requirements:**
Strong mathematical skills to help collect, measure, organize, and analyze data.
Knowledge of SQL and Python.
Technical proficiency in database design development, data models, techniques for data mining, and segmentation.
Proficiency in statistics and statistical packages like Excel, SPSS, and SAS to be used for data set analysis.
Experience with data visualization software like Tableau or QuickSight

**Would be a plus:**
Bachelor’s Degree, preferably in a STEM field
The ability to work effectively independently and/or on a team
The ability to coordinate across multiple teams and/or groups
Effective leadership, assertiveness, and analytical skills
Excellent written and verbal communication skills
Strong attention to detail
Experience using Microsoft Office 365 products (Outlook, Excel, Word, etc.)

**Responsibilities:**
Managing master data, including creation, updates, and deletion
Providing quality assurance of imported data and championing initiatives for data integrity and normalization
Generating reports from single or multiple systems and conducting analysis
Managing and designing the reporting environment, including data sources, data sets, security, and metadata
Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems
Troubleshooting the reporting database environment and reports
Evaluating changes and updates to source production systems

**Our professionals value us for:**
Regular performance evaluation and salary revision, attractive benefits package;
Functional offices, centres of excellence, and mentorship from competence leads to support the professional growth;
Tech talks, open talks, and conferences; training and certifications;
Free English courses of all levels with attentive and friendly teachers;
Health insurance; maternity aid; corporate sports teams, hobby clubs, in-house gym or gym discounts;
Referral program, bonuses for marriage and childbirth;
Great team parties and corporate events; cool branded gifts; an additional paid day off for the Company Day celebration;
Warm and relaxed atmosphere, smooth and transparent communication, and unlimited fun.

Feel free to contact me anytime, I will provide you with all the information you might be interested in.