Staff Data Engineer

Job Description

Staff 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 Staff 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 Staff Data Engineer will also work closely with ServiceNow Product Managers, Engineering team and data scientists to help prep data for models and dashboards.

The Staff 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
• Training analysts and data scientists alike on available data sources
• Developing / maintaining documentation on datasets
• Collaborating across the company s multiple data teams to meet GenAI 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 equi