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Data Quality Engineer

Remote: 
Full Remote
Contract: 
Salary: 
44 - 52K yearly
Experience: 
Mid-level (2-5 years)

Offer summary

Qualifications:

At least 2 years of experience in Data Quality., Strong SQL programming skills., Experience with data warehousing concepts., Familiarity with cloud solutions like GCP and AWS..

Key responsabilities:

  • Develop and implement data quality standards.
  • Design and implement Data Quality checks.
AUTODOC logo
AUTODOC 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!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Detail Oriented
  • Teamwork
  • Analytical Skills
  • Problem Solving

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