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Big Data Engineer

CrowdStrike · Apr 9th 2020

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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.

This position is open to candidates in Bucharest (Office or Romania Remote), Brasov, Cluj, Iasi and Timisoara (Remote)

You will:

  • Write jobs using PySpark to process billions of events per day
  • Fine tune existing Hadoop / Spark clusters
  • Rewrite some existing PIG jobs in PySpark

Key Qualifications

You have:

  • BS degree in Computer Science or related field
  • 7+ years of relevant work experience
  • Experience in building 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 building 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 infrastructure and pipelines for teams in the past
  • Contributed to the open source community (GitHub, Stack Overflow, blogging)
  • Prior experience with Spinnaker, Relational DBs, or KV Stores
  • Prior experience in the cybersecurity or intelligence fields

Benefits of Working at CrowdStrike:

  • Market leader in compensation
  • Comprehensive health benefits
  • Working with the latest technologies
  • Training budget (certifications, conferences)
  • Flexible work hours and remote friendly environment
  • Wellness programs
  • Stocked fridges, coffee, soda, and lots of treats
  • Peer recognition
  • Inclusive culture focused on people, customers and innovation
  • Regular team activities, including happy hours, community service events


We are committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives and ways of solving problems so we strive to attract and retain talent from all backgrounds and create workplaces where everyone feels empowered to bring their full, authentic selves to work.

CrowdStrike is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

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