Senior Data Engineer · Threat Protection
EUR 67,200-85,200 per year
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AWS
Cassandra
Data Engineering @ 4
Data Modeling
Data Pipelines
Databricks
ETL
Go @ 6
Java @ 6
Kafka
PostgreSQL
Python @ 6
SQL
Scala @ 6
Security
Terraform
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The Threat Protection department develops cybersecurity features that secure users from malicious actions and protect customer privacy. The role focuses on building scalable data systems that support these security goals.
Responsibilities
- Design, develop, and maintain robust data pipelines to collect, process, and store data from various sources.
- Optimize and fine-tune data processes for performance and scalability.
- Work on data modeling, ETL processes, and data lake management to ensure data accuracy.
- Lead and guide junior engineers by providing technical guidance and support.
- Actively participate in addressing data-related issues.
Requirements
- Previous experience in data engineering.
- Proficiency in modern programming languages such as Python, Scala, Go, or Java.
- Experience with big data technologies and distributed data systems.
- Familiarity with cloud data integration platforms.
Tools and Technologies
- PySpark
- SQL
- Databricks
- AWS
- Kafka
- Cassandra
- PostgreSQL
- Terraform
Benefits
- Online and in-person training programs, access to Coursera and Skillshare, mentorship, and internal career opportunities.
- Extra vacation days and additional leave for sick leave, special occasions, and parenting.
- Premium private health insurance in Lithuania and Poland.
- Free subscriptions to Calm, Headspace, and Mindletic, plus resilience and mindfulness training.
- In-house gyms, Multisport and Urban Sport cards, online workouts, and physical well-being support.
- Company workation opportunities abroad.
- The option to work from different locations.
- Gifts for birthdays, work anniversaries, weddings, and new family members.
- Summer camps for children and flexible work arrangements for parents.
- Team-building activities and company events.
- Access to the Vilnius headquarters, including silent rooms, gyms, a game room, music room, and coffee bar.
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