As a Data Engineer, you should be an expert with data warehousing technical components (e.g., ETL, ELT, Cloud Databases and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have a deep understanding of the architecture for enterprise-level data lake solutions using multiple platforms (RDBMS, AWS, Cloud). You should be an expert in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. The individual is expected to be able to build efficient, flexible, extensible, and scalable ETL and reporting solutions.
What you'll do: Yeah, I want to and can do that.
- As a Data Engineer, you will be responsible for engineering data pipelines for Splunk’s enterprise data platform, democratizing datasets, enabling advanced analytics capabilities, integrating data from various systems, and applications. You will work as part of an evolving Enterprise Data Management(EDM) - Data Engineering Team to rapidly design, secure, build, test and release new data enablement capabilities. The role will collaborate closely with other specialists, Product Managers & key stakeholders across the company.
- Build large-scale batch and real-time data pipelines using the cloud data technologies, such as Snowflake, Matillion, Kubernetes, Python, Apache Airflow and Apache Kafka
- Serve as a resource for data management implementations on other technology teams and collaborate with data owners, business owners, and leaders.
- Supports the design and development of framework based data integration and interoperability across multiple Splunk Business applications.
- Advanced level skills in Python, SQL, data integration, data modeling and data architecture.
Requirements: I’ve already done that or have that!
- A minimum of 5 years of related experience
- 3+ years of experience as a Data Warehouse Architect or Data Engineer.
- 2+ years of experience driving adoption and building automation of data management services and tools.
- 2+ years of experience with API based ELT automation framework, data management, or interface design, development and maintenance.
- Large scale design, implementation and operations of Cloud data storage technologies such as AWS Redshift, Snowflake, Kubernetes, etc.
- 3+ years of experience with programming scripting and data science languages such as Python, SQL, etc.
- Experience in building data models, including conceptual, logical, and physical for Enterprise Relational, and Dimensional Databases.
- Advanced knowledge of Big Data concepts in organizing both structured and unstructured data
Preferred knowledge and experience: These are a huge plus.
- Knowledge of Splunk products
- Knowledge of DBT
- Experience with Sales Operations, Partner Operations and customer success business processes and applications
Education: Got it!
- Bachelor’s degree preferably in Computer Science, Information Technology, Management Information Systems, or equivalent years of industry experience.
We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.
Splunk's Hiring Practices
Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.
We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Equal Employment Opportunity Policy Statement. If you need assistance or an accommodation to apply or during the hiring process, please let us know by completing our Accommodation Request form.
Splunk also has policies in place to protect the personal information candidates disclose to us as part of the application process. Please click here to review Splunk’s Career Site Privacy Policy.
Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk’s Pay Transparency Nondiscrimination Provision.
Splunk is committed to the health and safety of our employees and customers. We comply with local, state/territory, and federal regulations to prevent the spread of COVID-19 in the countries in which we operate. Splunk provides reasonable medical, religious, or other legally required accommodations for eligible employees.
Splunk is also committed to providing access to all individuals who are seeking information from our website. Any individual using assistive technology (such as a screen reader, Braille reader, etc.) who experiences difficulty accessing information on any part of Splunk’s website should send comments to accessiblecareers@splunk.com. Please include the nature of the accessibility problem and your e-mail or contact address. If the accessibility problem involves a particular page, the message should include the URL of that page.
Splunk doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Splunk.
Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk’s Pay Transparency Nondiscrimination Provision.
Splunk is committed to the health and safety of our employees and customers. We comply with local, state/territory, and federal regulations to prevent the spread of COVID-19 in the countries in which we operate. Splunk provides reasonable medical, religious, or other legally required accommodations for eligible employees.
Splunk is also committed to providing access to all individuals who are seeking information from our website. Any individual using assistive technology (such as a screen reader, Braille reader, etc.) who experiences difficulty accessing information on any part of Splunk’s website should send comments to accessiblecareers@splunk.com. Please include the nature of the accessibility problem and your e-mail or contact address. If the accessibility problem involves a particular page, the message should include the URL of that page.
Splunk doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Splunk.
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