Position: Senior Data Quality Engineer/QA
Company: DASH Financial Technologies
Experience required: 3y
Category: Python
English level: upper
Published: 2022-03-01T00:00:00+02:00

DASH Financial Technologies is the industry-leading Capital Markets technology and execution provider. We are looking for a skilled Senior Data Quality Engineer/QA. The Candidate will work with the Billing System migration and maintenance.

The successful candidate should be a dynamic professional with a “can-do" attitude along with technical problem-solving skills, able to adapt and manage a wide range of technical support situations and responsibilities.

As a Data Quality Engineer you will be responsible for developing, documenting and performing data quality checks across all data assets. This involves validation of data in data repositories against data from source systems and validation of metrics in reports/dashboards against data in the models/repositories is a key responsibility.

What you’ll do

· Develop Data Quality process and framework, to ensure compliance of data with all DQ dimensions, and reliability of data pipelines including ETL processes

· Design, build, execute, and maintain automated DQ tests

· Support and Maintain data pipelines ensuring highest levels of data quality and reliability

· Periodic Data profiling, reports and metrics, observability also stakeholder reporting

· Review and troubleshoot data related support issues

· Collaborate with other teams to enable Agile Project Delivery and ensure proper compliance of Data Governance change request process.

Requirements

· Practical experience in Python and SQL (Postgres*, MS, Oracle)

· Elasticsearch, Kibana, Cassandra

· Experience with data processing or ETL

· Database design and implementation

· Familiar with testing concepts and methodologies

· Familiar with CI/CD principles and best practices in data processing

· Familiarity with data management infrastructure elements

NICE TO HAVE

· Understanding of Automation QA approaches for BI and Big Data applications

· Experience in automated testing

· Experience in Big Data technologies

· Experience in data management, data integration and data quality verification

We are offering:

· Full-time remote work or the office space in Vinnytsia

· Flexible working hours (European time zone)

· Direct PE contract with the company

· Accounting support

· Paid vacations and sick leave

· All needed equipment if necessary (laptop, monitors, chair, etc.)

· Agile environment and small teams

· Strong product-minded engineering team