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Data QA Engineer (Manual)

Remote:

Full Remote

Contract:

Full time

Salary:

44 - 52K yearly

Experience:

Mid-level (2-5 years)

Work from:

Republic of Moldova, Portugal

Offer summary

Qualifications:

Minimum 2 years experience in Data Quality, Strong SQL and Python skills, Experience with ETL testing and BI software, Familiarity with cloud solutions and data integration technologies.

Key responsabilities:

Develop and implement data quality standards
Design Data Quality checks for different data assets
Propose improvements to Information Life Cycle process

AUTODOC Information Technology & Services Large https://autodoc.group/

5001 - 10000 Employees

See more AUTODOC offers

Job description

Company Description

AUTODOC is a technology company with a leading e-commerce platform for vehicle parts and accessories in Europe. Founded in 2008 in Berlin, we are now 5,000 people from 68 nationalities, collaborating to make mobility easy and sustainable. By placing technology at the core of everything we do, we manage to serve customers in 27 European countries in 23 languages.
Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

Job Description

Requirements

At least 2 years of work experience in the field of Data Quality with a focus on Data Quality implementation and monitoring.
Experience in developing and implementing Data Quality standards and procedures.
Experience in designing and implementing ETL testing.
Understanding of data warehousing concepts.
Strong experience in SQL
Programming skills in Python.
Hands-on experience with column-base Databases (ClickHouse, Vertica).
Familiarity with data profiling, data cleansing, and data validation using SQL or other scripting languages.
Familiarity with BI software such as Apache Superset or Power BI.
Familiarity with cloud solutions like GCP, and AWS.
Familiarity with data integration technologies, such as ETL tools.
Ability to work independently as well as collaboratively with other teams and stakeholders.
Strong analytical and problem-solving skills, with a keen eye for detail.

Will be a plus

Experience with SnowFlake will be an advantage.
Understanding of data governance and metadata management best practices.
Understanding of modern RDBMS (MySQL, MS SQL) and No-SQL DBs.
Familiarity with e-commerce product concepts and its data challenges.
Familiarity with Agile methodologies and experience working in a fast-paced, dynamic environment.

Responsibilities

Work in a team to develop and implement data quality standards and procedures
Design and implement Data Quality checks for a diverse range of data assets and pipelines.
Propose improvements to the current process of the Information Life Cycle

What do we offer?

Competitive salaries based on your professional experience
Fast growing international company with stable employment
Annual vacation and 1 additional day off on your birthday
Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members 24/7 hotline and online sessions
Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
Free English and German language classes
Referral Program with attractive incentives
Flexible working hours and hybrid work

Join us today and let’s create a success story together!