Data Reliability Engineer

CrowdStrike is looking for an Engineer II to join our growing Production Systems team. As an Engineer II, you will be fundamental in ensuring the accuracy and consistency of data. The candidate will be responsible for building and developing solutions that correlate data across various sources. If you are interested in working on a high-performing team with interesting problems to solve, this is the job for you!

What You'll Do:

• Identify and resolve discrepancies between data sources and leverage automation tooling to aid in data integrity and efficiency
• Design and implement ETL (Extract, Transform, Load) processes to efficiently move data between systems while ensuring data quality and integrity
• Develop automated quality checks and monitoring procedures to ensure financial data consistency and compliance
• Build and maintain scalable data pipelines to aggregate and process data from diverse sources (relational databases, APIs etc)
• Develop Python scripts and applications using libraries such as Pandas, NumPy, and SQLAlchemy for data manipulation, transformation, and analysis
• Create automated data validation frameworks using Python testing libraries to ensure data quality and consistency
• Apply accounting principles to ensure financial data integrity and develop meaningful financial analytics
• Be an energetic self-starter’ with the ability to take ownership and be accountable for individual deliverables

What You'll Need:

• 3+ years of Experience with fixed asset management systems, including asset tracking, depreciation calculations, and financial reconciliation
• Strong experience with ETL methodologies and tools for data integration and transformation, leveraging frameworks
• Advanced Python programming skills with expertise in data engineering libraries (Pandas, NumPy, SQLAlchemy, Airflow)
• Experience using Jira's REST API to extract project data for reporting and analytics purposes
• Advanced Excel skills including complex formulas, pivot tables, VBA macros, and Power Query for financial data manipulation
• Experience designing schemas and optimizing SQL queries for RDBMS such as MySQL or Postgres
• Fundamental understanding of accounting principles and financial reporting requirements
• Must work effectively and professionally with cross-functional groups across divisions as part of a worldwide team
• Must be able to work with a distributed team in multiple time zones.
• Must exhibit meticulous attention to detail, and have the ability to make good, timely decisions.
• Demonstrate self-learning capabilities, taking initiative in a fast pace/quickly changing environment.
• Excellent written and verbal communication skills are required.

Bonus Points:

• Understanding of GAAP/IFRS accounting standards for fixed assets
• Experience with compliance frameworks (SOX, SOC2, FEDRAMP)
• Experience working in a large-scale production environment and/or with bare-metal hardware
• Process governance experience and or strong automation workflow knowledge
• Experience working with data center infrastructure and asset management
• Excellent written and verbal communication skills are required.
• Must work effectively and professionally with cross-functional groups across divisions, worldwide, as part of a team.
• Must be able to work with a distributed team in multiple time zones.