Strong Middle Data Engineer

3 Months ago • 3 Years +

Data Analysis

Job Description

As a Strong Middle Data Engineer, you will contribute to the evolution of online car markets, improving user experience. You will simplify existing tools, address technical debt, and propose improvements. You'll work closely with Senior Engineers, a Product Manager, and an Engineering Manager, during the Canadian time zone. Responsibilities include building and maintaining data pipelines and actively participating in team discussions. The project involves merging with a Canadian company, supporting its data infrastructure.

Must Have:

3+ years of data engineering experience
Upper-Intermediate+ English proficiency
Expertise in AWS services (Glue, Athena)
Proficiency in Python, PySpark, GCP
Experience with SQL, Airflow, data streaming (Kafka or Firehose)
Building and maintaining data pipelines
Experience building data platforms
Proficiency in data modeling techniques

Perks:

Flexible working format (remote, office, or flexible)
Competitive salary and good compensation
Personalized career growth
Professional development tools
Active tech communities
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings

Add these skills to join the top 1% applicants for this job

team-management

user-experience-ux

aws

python

sql

About the project:

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. The company is now merging with a similar company in Canada and needs support on this way. As a Strong Middle Data Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Requirements:

3+ years of experience in data engineering
English - Upper-Intermediate+
Expertise in AWS services, especially Glue, Athena
Proficiency in Python, PySpark, GCP
SQL, Airflow, data streaming frameworks (Kafka or Firehose)
Experience in building and maintaining data pipelines
Experience in building data platforms, not just using them
Proficiency in data modeling techniques and best practices

Responsibilities:

Work during the Canadian time zone
Simplify existing tools, make them more modular, work with technical debt
Propose improvements, be actively involved in team discussions and decision-making, drive initiatives
Work closely with a team of Senior Engineers, Product Manager and Engineering Manager

We offer*:

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

*not applicable for freelancers

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