The Role
Design and maintain scalable data pipelines and platforms, lead migration from Snowflake to client service, propose improvements, drive initiatives, and collaborate with senior engineers, product/project managers, and data analysts.
Summary Generated by Built In
Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. 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 data engineering;
- Expertise in AWS services ( Glue, Athena, etc.);
- Proficiency in Python, PySpark, GCP;
- Experience with Snowflake, DBT, SQL, Airflow;
- Expirience with Qlik to AWS Datalake (nice to have);
- English - Upper-Intermediate+;
- 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 on migration from Snowflake to the client’s service;
- Propose improvements, be actively involved in team discussions and decision-making, drive initiatives;
- Work closely with a team of Senior Engineers, Product & Project Manager and Data Analysts.
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
Skills Required
- 5+ years of experience in data engineering
- Expertise in AWS services (Glue, Athena, etc.)
- Proficiency in Python
- Proficiency in PySpark
- Experience with GCP
- Experience with Snowflake
- Experience with DBT
- Proficiency in SQL
- Experience with Airflow
- Experience with Qlik to AWS Datalake
- English - Upper-Intermediate+
- Experience building and maintaining data pipelines
- Experience building data platforms (not just using them)
- Proficiency in data modeling techniques and best practices
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The Company
