Data Engineer

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

Data Engineer 
Hyderabad, India

This position reports to: Engineering Leader, Finance and Supply Chain workflows(FSC)

ServiceNow is changing the way people work. With a service-orientation toward the activities, tasks and processes that make up day-to-day work life, we help the modern enterprise operate faster and be more scalable than ever before. 

As a member of the FSC engineering team, you’ll focus on driving operational awareness to our Executive Team while partnering with leaders throughout ServiceNow to fundamentally improve how we run our business. With a combination of exceptional analytical skills, an insatiable curiosity, and an entrepreneurial “get stuff done” mindset, you’ll help us better understand our customers, partners, and products, and drive important changes that will shape the future of ServiceNow.

What you get to do in this role:

We are looking for a Rock Star with a winning track in building systems that collect, manage, and convert raw data into usable information. The Data Engineer will be a core technical contributor to the team with deep expertise in manipulating and structuring large, complex datasets. S/he will be responsible for helping stand up and maintaining daily data transfer jobs, database structures, identifying data integrity issues, and developing documentation on data assets. The Data Engineer will also work closely with Staff Data Engineers, ServiceNow Product Managers, Engineering team and data scientists to help prep data for models and dashboards. 

The data engineer must have a strong hunger to understand end-to-end functional flows, analyse-prepare-load data for each flow and regularly maintain the datasets across the release cycles.

The ideal candidate should have a background in Engineering, Statistics, Mathematics, Computer Science, equivalent quantitative field or related practical experience with an obsession on data quality. S/he should have an outstanding ability to foster relationships with staff across departments and be motivated to continuously achieve positive results. Extensive understanding to the needs of data visualization is a must for this role. S/he should also be able to effectively handle ad hoc requests and multitask with ease and little guidance. 

Examples Of Day-to-Day Responsibilities

• Enforcing company data policies and procedures to ensure data quality and reduce discrepancies
• Securing approvals for data access based on business needs
• Developing scalable automated ETL/ELT jobs and maintain them 
• Identify any data integrity issues and deep dive to find root cause
• Create and maintain master data sets and merge datasets across disparate systems
• Developing / maintaining documentation on datasets
• Collaborating with Staff Data Engineers and engineering team to complete the deliverables

Qualifications

In order to be successful in this role, we need someone who has:

• Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, a related quantitative field, or equivalent practical experience.
• 2+ years of experience in consulting, business intelligence, analytics, or an equivalent analyst position with experience in database queries and an additional object-oriented programming language (e.g., Python, Java, JavaScript)
• Effective problem solving and analytical skills. 
• Structured thinking with ability to easily break down ambiguous problems and propose impactful changes to the existing datasets in accordance with the modified schema or functional flows.
• Passion for analyzing large and complex data sets and converting them into the information which drive business decisions
• Attention to detail, organization and effective verbal/written communication skills
• Experience in creating large datasets for structured databases.
• Solid decision making, negotiation, and persuasion skills, often in ambiguous situations
• Must be able to work in fast paced environment and be able to adapt to changing requirements.
• Understanding of technology development projects and the full technology development lifecycle

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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