Strong Middle Data Engineer (#2541)
Job Summary
Job Description
As a Strong Middle Data Engineer, you will play a key role in the merger of a large European and Canadian online car marketplace. 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 senior engineers, product managers, and engineering managers, primarily during the Canadian time zone. This role requires proficiency in AWS services (Glue, Athena), Python, PySpark, GCP SQL, Airflow, data streaming frameworks (Kafka or Firehose), data pipeline and platform building, and data modeling. The company offers a flexible work format (remote, office-based, or hybrid), competitive salary, personalized career growth opportunities, and various professional development resources.
Must have:
- 3+ years data engineering experience
- AWS (Glue, Athena), Python, PySpark
- GCP SQL, Airflow, Kafka/Firehose
- Data pipeline & platform building
- Data modeling expertise
Perks:
- Flexible work format
- Competitive salary
- Personalized career growth
- Professional development tools
- Education reimbursement
- Corporate events
3 skills required
Job Details
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
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