As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters The future of cybersecurity starts with you.
CrowdStrike is seeking an experienced Data Engineer to join the Finance Data and Analytics team. This role will report directly to the Manager of Data Engineering. This is a great role for an individual who is passionate about working with data and data systems and play a critical role in building finance data sources and frameworks, ensuring the scalability and reliability of our data
Shift time: 5.00 PM - 2.00 AM

Own,build, and maintain scalable data pipelines that connect various cloud data sources.
Design, build, and manage reliable data ingestion and transformation pipelines using Airflow, dbt, Python, Matillion, and Snowflake.
Ensure our data pipelines and data warehouse are optimized for accuracy, performance, and accessibility.
Strong collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.

Experience & Expertise

5+ years in developing complex automation frameworks, queries, and extract, transform, and load (ETL) processes.
Deep Experience in scripting languages such as Python and Cloud database experience such as Snowflake
Experience with ETL/ELT processes, data pipelines (e.g., dbt, Airflow), and modern data engineering best practices.
Experience in scaling operations in high-growth environments.

Proficiency in Salesforce or similar CRM systems
Hands-on experience with Agile methodologies and tools like JIRA
Knowledge of Finance metrics is a plus Requirements Gathering and Analysis
Collaborate with stakeholders to understand data requirements and business objectives.
Participate in requirement analysis sessions to understand business needs and user requirements.
Testing and Debugging
Conduct thorough testing and debugging to ensure the reliability, security, and performance of applications.
Write unit tests and validate the functionality of developed features and individual elements.
Writing integration tests to ensure different elements within a given application function as intended
Identify and resolve defects, code smells, and performance bottlenecks.

#Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
We support veterans and individuals with disabilities through our affirmative action program.
The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.
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Senior Data Engineer - AI & Data

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