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Middle Data Engineer (m/f/d)

% Flex
Remote: 
Full Remote
Work from: 
Kazakhstan

Offer summary

Qualifications:

In-depth knowledge of Data Engineering methodologies, Experience with cloud tools such as AWS, GCP or Azure, Strong programming skills in Python, SQL, Experience with GCP cloud infrastructure, Understanding of Big Data technologies like Hadoop, Spark.

Key responsabilities:

  • Develop and optimize database processing systems architecture
  • Create efficient CI/CD and automated solutions
  • Enhance existing infrastructure and ensure security
  • Improve data quality and reliability
  • Participate in strategic decision-making
AUTODOC logo
AUTODOC Information Technology & Services Large https://autodoc.group/
5001 - 10000 Employees
About AUTODOC
We make mobility easy & sustainable. AUTODOC was founded in 2008 in Berlin and we are now a leading E-commerce for automotive spare parts in Europe. We are a growing profitable technology company active in 27 countries with a highly diverse team of over 5 000 people from 50 countries where things are going fast forward! We are transforming and looking for innovative, tech-driven, and agile talents to join us across Europe. It is important for us that our people feel a sense of impact, purpose and belonging within our organization - whether they work in an office space, in one of our warehouses or remotely. With our headquarters in Berlin- Germany, we also have several offices across Europe.Catch the ride!https://autodoc.group/en/about-ushttps://autodoc.group/en/facts-and-figureshttps://autodoc.group/en/news-roomhttps://autodoc.group/en/careerLegal notice: https://bit.ly/3LHWIg1
See more AUTODOC offers

Job description

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Your missions

Company Description

AUTODOC is the largest and fastest growing auto parts ecommerce platform in Europe.
Present across 27 countries with around 5,000 employees, AUTODOC generated revenue of over €1.3 billion in 2023, supplying more than 7.4 million active customers with its 5.8 million vehicle parts and accessories for car, truck, and motorcycle brands.

Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

Job Description

Responsibilities:

  • Development and optimization of architecture of database processing systems
  • Development and support of infrastructure in the Google Cloud Platform environment
  • Improving the quality and reliability of data that drives end-to-end cleansing processes
  • Create efficient CI/CD and other automated solutions
  • Maintenance and enhancement of existing infrastructure
  • Infrastructure security and monitoring


Qualifications

  • In-depth knowledge of Data Engineering methodologies
  • Ability to work with large datasets, ETL tools and databases
  • Experience with cloud tools for data warehousing and processing such as AWS, GCP or Azure
  • Ability to design, build and maintain robust and scalable data pipelines
  • Interacting with other departments and participating in strategic decision making at the company level in the field of data engineering
  • Ability to find innovative ways to solve problems
  • Developing solutions for system monitoring

Experience:

  • Experience in developing fault tolerance mechanisms - approaches to clustering, replication, scaling, etc.
  • Strong understanding and use of programming languages such as Python, SQL, and professional knowledge of Big Data technologies such as Hadoop, Spark.
  • Experience with GCP cloud infrastructure
  • Experience in Data Science for 3 years or more.
  • Understanding of services: GCP, JupyterHub, AirFlow, ClickHouse, Spark, MLFlow
  • Finding your way out of the Vim text editor

What do we offer?
  • Competitive salaries based on your professional experience
  • Fast growing international company with stable employment
  • Annual vacation of 24 days and 1 additional day off on your birthday
  • Monthly Allowance for cover the costs of medical insurance expenses
  • 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
  • Flexible working hours and hybrid work

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

Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.
Are you interested?

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