2024-06-13
CrowdStrike, Inc.
Other
/yr
employee
contract
Topeka
Vermont
98033
United States
CrowdStrike, Inc.
Full time
R19043
About the Role:
As a Lead Data Engineer, you will design and build reusable data integration components, frameworks, and libraries at scale to support Operational Data Store / Enterprise Data Lake Platforms.
Design, develop, and maintain scalable, automated, framework driven and efficient data pipelines using scripting languages like Python, Airflow, Dbt and Cloud databases such as Snowflake, RedShift, etc.
Implement data integration solutions for various data sources like SFDC, Product Telemetry, NetSuite and other systems, ensuring data accuracy, consistency, and completeness.
Work closely with DevOps and data scientists to support their data platform automation needs.
12+ years' experience in design and development of data pipeline automation extracting data from Cloud API based sources. Experience developing complex automation frameworks, queries, data modeling, and extract, transform, and load (ETL) processes in SQL, Python, or similar technical languages.
Deep Experience in scripting languages such as Python and Cloud database experience such as Snowflake, Redshift, etc. to facilitate rapid ingestion and dissemination of key data.
Proficient in transforming structured and unstructured data. Experience working on CI/CD processes such as Jenkins, Gitlab CI/CD etc., and source control tools such as GitHub, etc.
Experience identifying and solving issues concerning data management to improve data quality, and clean, prepare and optimize data for ingestion and consumption. You will work with your Data Engineering teammates to review design, code, and test plans to increase knowledge and application of key frameworks and methodologies.
Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs.
Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
Experience working for a SaaS security company and building SaaS metrics is preferred
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We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.
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