Position: Lead/Principal Data Engineer
Category: Scala
English level: fluent
Years of experience: 8

Developed and maintained core components of a large-scale Lambda-style data platform with up to 2.5M RPS.

Introduced monitoring and 24/7/365 support process via Datadog and OpsGenie for all the parts of the project, starting from the data ingestion and finishing with the possible reporting data issues and delays.

Was playing a crucial role in building the Big Data competence in my current company and participated in a lot of pre-sale / up-sale activities related to Data Engineering.
I've worked on large-scale data pipelines with rates up to several million RPS.
I love Big Data stuff, Python, Scala and Spark, and I still like to use Bash and Groovy for simple and/or monotonous tasks. I have experience with setting up large reporting sinks (from MySQL and PostgreSQL up to Vertica, Clickhouse, Oracle and anything else in between) and with Linux and BSD.

I'd like to work for a big product company with lots of data.
I'd love to improve my skills and expertise in new business domains, as well as solve complex problems in a simple way.

Priority-wise, I'm interested in salary, new technologies and a big product company is preferable to me, compared to service companies and outsource businesses.

If possible, I'd like a project without the direct need to babysit the team.