Sr. Data Engineer (5 PM to 2 AM IST)

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 platform. The ideal candidate brings deep technical expertise, and a proven ability to thrive in a high-growth, fast-paced SaaS environment. Location: Pune (WFO) Shift time: 5.00 PM – 2.00 AM What You’ll Do: 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. Develop and Maintain automation frameworks for key Finance metrics like ACV/ARR and support Month End/ Quarter End close. Ensure our data pipelines and data warehouse are optimized for accuracy, performance, and accessibility. Balance the development of new capabilities with the need to scale and optimize existing systems. Monitor daily jobs and troubleshoot failures ensuring that pipelines are stable and do not break. Strong collaboration skills, with the ability to explain technical concepts to non-technical stakeholders. What You’ll Need: 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. Technical & Analytical Skills Proven ability to ingest from multiple sources and produce clean, well-modeled datasets. 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. Provide technical insights and recommendations during the requirements-gathering process. 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