Senior Big Data Engineer in KITRUM

Closed job - No longer receiving applicants

This job is posted by KITRUM on behalf of
KITRUM is a one-stop software development company headquartered in sunny Florida. We realize that one of the most crucial things for developers — is adequate clients and fascinating projects. So we qualify our clients to make sure that they:
— have an idea that they believe will make the world a better place;
— think long-term and looking for a trusted-tech partner;
— want to rely on and avoid micromanaging;
— are not f$%$ing jackasses :-)
And now we are looking for a Senior Big Data Engineer for an American project. It is an online library with 1.5 million users and 60 million materials. It’s like Netflix, only for books. Core Platform provides robust and foundational software, increasing operational excellence to scale apps and data. Client’s goal is not total architectural or design perfection, but rather choosing the right trade-offs to strike a balance between speed, quality and cost.


— 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

Required skills

— 5+ 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
— Fluency with at least one dialect of SQL
— Level of English: Upper-Intermediate

As a plus

— Experience with 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

We offer

— 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
— Full remote
— Annual Paid vacation — 20 b/days + unpaid vacation
— Paid sick leaves — 6 b/days per year
— 12 national holidays
— Corporate Perks (external training, English courses, corporate events/team buildings)
— Professional and personal growth

Pet-friendly Pets are welcome at the premises.
Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Paid sick days Sick leave is compensated (limits might apply).
Computer provided Scribd provides a computer for your work.
Informal dress code No dress code is enforced.

Remote work policy

Locally remote only

Position is 100% remote, but candidates must reside in South America.

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