Staff Data Platform Software Engineer
@ ServiceNow

Hyderabad, Telangana, India
$150,000
On Site
Full Time
Posted 23 days ago

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XXXXXXXX XXXXXXXXXXXXX XXXXXX***** @servicenow.com
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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

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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.

📝 Interview Preparation Advice

Technical Preparation

Review Java coding best practices.
Practice Spark and Trino data manipulation.
Study SQL and relational database query optimization.
Brush up on Unix shell scripting fundamentals.

Behavioral Questions

Describe a challenging project and resolution.
Explain experiences working in teams.
Discuss learning new tech quickly.
Share how you handle tight deadlines.

Frequently Asked Questions