Staff Data Platform Software Engineer @ ServiceNow
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Job Details
Company Overview
ServiceNow, founded in 2004 in sunny San Diego, California by visionary engineer Fred Luddy, is a global market leader. The company empowers over 8,100 customers, including 85% of the Fortune 500®, with AI-enhanced, intelligent cloud-based platforms that seamlessly connect people, systems, and processes.
Job Overview
The Analytics Team is essential for developing and maintaining robust data pipelines, semantic layers, and data applications. As a Staff Data Platform Software Engineer, you will be building and refining data pipelines, optimizing semantic layers, and creating tools for advanced data analysis and decision-making.
What You'll Do and Need to Know
- Write and maintain high-quality Java code.
- Develop scalable semantic layers and robust data pipelines.
- Utilize technologies such as Spark, Trino, Tableau, and Power BI.
- Learn new technologies quickly and complete complex projects.
Qualifications
You will need:
- Over 10 years of experience in Java or similar OO languages.
- Experience with Lakehouse, Iceberg, Delta Tables, and Hudi.
- Strong skills in SQL, relational databases (Oracle, MySQL, PostgreSQL, Snowflake, Databricks), and Unix shell.
- Proficiency in Spark, Flink, and Big Data ecosystems.
- Familiarity with JavaScript and test automation is a plus.
Additional Information
ServiceNow supports flexible work arrangements and provides accommodations for candidates needing alternative application methods. For assistance, contact the provided email.
Key Skills/Competency
Spark, Trino, Java, Data Pipelines, Semantic Layers, SQL, Big Data, Oracle, Snowflake, Modular Programming
How to Get Hired at ServiceNow
🎯 Tips for Getting Hired
- Customize Resume: Tailor your resume to highlight Java and data skills.
- Research ServiceNow: Understand their mission and innovative tech offerings.
- Showcase Projects: Emphasize experiences with data pipelines and analytics.
- Practice Interviews: Prepare for technical and leadership questioning.