Job Description In this role, you will be a member of a team that supports analytics for global infrastructure and cloud operations.
You will help drive Cloud and Infrastructure strategy by leveraging AI, Machine Learning, and other advanced Analytics to inform our future enterprise strategies.
The work will require ingenuity, vision, and the capability to cultivate strong partnerships across various departments as you develop pipelines, SOT data solutions, and data products foundational to our Cloud and Infrastructure analytics strategy.
What you get to do in this role: Ingest and curate business-relevant structured and unstructured datasets from multiple data sources.
Lead pipeline, development, and maintenance of data models for efficient data storage and extraction.
Provide SME guidance and technical recommendations for data ingestion and management framework.
Leverage algorithms to transform relevant data into actionable information.
Create data validation methods that enforce and follow all company policies and procedures to ensure data integrity.
Automate data management, validation, and ETL tasks via data pipelines.
Lead data engineering projects to extract, manage, and analyze data from multiple applications, ensuring deadlines are met.
Act as a liaison between Cloud Capacity Engineering, data governance, data analytics, and Big Data engineering teams.
Independently Identify business opportunities, capabilities, and solutions that deliver customer satisfaction.
Define and implement critical KPIs and build "operational" dashboards to help teams drive operational rigor and manage performance.
Deliver reliable and coherent data models for organizational-wide dashboards, including forecasting, planning, deployment, incident, problem management, and change management analytics across Cloud/Infrastructure and operations.
Onboard and manage analytics development workspaces and environments, Solve and present solutions to complex problems in an understandable way to stakeholders, business leaders, and executives.
Remain engaged and involved with industry best practices and policies.
Qualifications To be successful in this role you have: Bachelors in computer science, data science, Management Information Systems, mathematics, or a related field.
An equivalent of the same in working experience is also acceptable for the position.
3+ years of experience as a Data Engineer with advanced knowledge working with a wide variety of RDMS systems featuring SQL, NoSQL, HDFS, Scala, Spark, Kafka, R, Git, and related languages to develop, automate, and manage data applications, transformations, and data pipelines at scale.
3+ years of demonstrated Python and SQL development experience is a must.
2+ years of demonstrated proficiency in OOP languages and server-side programming such as JavaScript and Java 2+ years' experience working with Apache Hadoop, Snowflake, and HDFS Cloudera technology stacks.
3 years of working with infrastructure or cloud infrastructure, SASS, IAAS, FinTech, capacity planning, supply chain, or data analytics environments.
Demonstrated success working in fast-paced Agile, SDE environments and adaptability to changing requirements.
Knowledge of Tableau, Tableau Prep, Power BI, and other BI analytics tools.
Knowledge of the ServiceNow Platform desired Knowledge of Performance Analytics is preferred.
Communication skills Strong analytical skills Interpersonal skills JV20 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!
Additional Information 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 ****** 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. From Fortune.
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