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Senior Data Engineer (#2540)

United States (Remote)

Senior Data Engineer (#2540)

12 Hours ago • 5 Years + • Data Analyst

About the job

Summary

As a Senior Data Engineer, you will be instrumental in the merger of two major online car marketplaces. Responsibilities include simplifying existing tools, improving modularity, addressing technical debt, proposing improvements, actively participating in team discussions and decision-making, and driving initiatives. You will work closely with a team of Senior Engineers, a Product Manager, and an Engineering Manager, primarily during Canadian working hours. The role requires expertise in AWS (Glue, Athena), Python, PySpark, GCP, SQL, Airflow, and data streaming frameworks (Kafka, Firehose). You will design, build, and maintain data pipelines and platforms, leveraging strong data modeling skills and industry best practices.

4 skills required for this role

Test your skills to join the top 1% applicants for this job

aws

python

sql

google-cloud-platform

Must have:

5+ years software engineering experience
AWS (Glue, Athena), Python, PySpark
GCP, SQL, Airflow, data streaming
Data pipeline design & maintenance
Data platform development & maintenance
Data modeling expertise

Perks:

Flexible working format
Competitive salary & compensation
Personalized career growth
Professional development tools
Active tech communities
Education reimbursement
Corporate events

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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 Senior 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:

5+ years of experience in software engineering.
Expertise in AWS services, with a strong focus on Glue and Athena.
Proficient in Python, PySpark, and Google Cloud Platform (GCP).
Skilled in SQL, Airflow, and data streaming frameworks (e.g., Kafka, Firehose).
Proven experience in designing, building, and maintaining data pipelines.
Demonstrated ability to develop and maintain data platforms, beyond just usage.
Strong proficiency in data modeling techniques and industry best practices.
Upper-intermediate English proficiency required.

Responsibilities:

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
Work during the Canadian time zone

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

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