Big Data Engineer (Remote)

Big Data Engineer (Remote)

  • Anywhere

Company Name:-
CrowdStrike

Job Location:-
Crescent City, CA 95532

Job Summary:-
At CrowdStrike we’re on a mission – to stop breaches.

Our groundbreaking technology, services delivery, and intelligence gathering together with our innovations in machine learning and behavioral-based detection, allow our customers to not only defend themselves, but do so in a future-proof manner.

We’ve earned numerous honors and top rankings for our technology, organization and people – clearly confirming our industry leadership and our special culture driving it.

We also offer flexible work arrangements to help our people manage their personal and professional lives in a way that works for them.

So if you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to stop breaches and protect people globally, let’s talk.

About the Role:
We are looking to hire a Big Data Engineer for the Data Engineering team at CrowdStrike.

The Data Engineering team operates within the Data Science organization, and provides the necessary infrastructure and automation for users to analyze and act on vast quantities of data effortlessly.

The team has one of the most critical roles to play in ensuring our products are best-in-class in the industry.

You will interact with product managers and other engineers in building both internal and external facing services.

You will:
Write jobs using P y S park to process billions of events per day

Fine tune existing Hadoop / S park clusters

Rewrite some existing PIG jobs in P y S park
Key Qualifications:You have:
BS degree in Computer Science or related field

4+ years of relevant work experience
Experience in b uilding data pipelines at scale ( Note: We process over 1 Trillion events per week)

Good knowledge of Hadoop / Spark /Apache Kafka, Python, AWS, PySpark and other tools in the Big Data ecosystem

Good programming skills – Python

Operation experience in the tuning of clusters for optimal data processing

Experience in b uilding out ETL jobs at scale

Good knowledge of distributed system design and associated tradeoffs

Good knowledge of CI / CD and associated best practices

Familiarity with Docker-based development and orchestration
Bonus points awarded if you have:
Created automated / scalable infrastructu

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