KitRUM: Scribd - Middle Big Data Engineer

Basic requirements (education, skills):

3+ years of experience in data engineering creating or managing end-to-end data pipelines on large complex datasets;
Experience in developing scalable software using big data technologies (e.g. Hadoop, Spark, Hive, Flink, Samza, Storm, Elasticsearch, Druid, Cassandra, etc).;
Expertise in Scala, Java, or Python;
Fluency with at least one dialect of SQL;
Level of English: Upper-Intermediate;
Experience with of Streaming platforms, typically based around Kafka;
Strong grasp of AWS data platform services and their strengths/weaknesses;
Strong experience using Jira, Slack, JetBrains IDEs, Git, GitLab, GitHub, Docker, Jenkins, Terraform;
Experience using DataBricks.

What you will be doing (functional duties):

Manage data quality and integrity;
Assist with building tools and technology to ensure that downstream customers can have faith in the data they're consuming;
Cross-functional work with the Data Science or Content Engineering teams to troubleshoot, process, or optimize business-critical pipelines;
Work with Core Platform to implement better processing jobs for scaling the consumption of streaming data sets.

What we offer (social package, benefits, bonuses):

High compensation according to your technical skills;
Long-term projects (12m+) with great Customers;
5-day working week, 8-hour working day, flexible schedule;
Democratic management style & friendly environment;
WFH mode;
Annual Paid vacation — 20 b/days + unpaid vacation;
Paid sick leaves — 6 b/days per year;
Ukrainian official holidays;
Corporate Perks (external training, English courses, corporate events/team buildings);
Cozy office in the center of the city;
Coffee, cookies and other goodies;
Professional and personal growth.

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