Senior Logging & Data EngineerKPMG US • Bentonville, AR, US
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Senior Logging & Data Engineer
KPMG US • Bentonville, AR, US
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job_description.job_card.job_descriptionMinimum three years of recent experience in data engineering and large-scale data processing with the ability to manage TB / PB-scale datasets; familiarity with a wide range of data ingestion and parsing technologies is preferred Bachelor's degree from an accredited college or university is preferred Proficiency in Python, PowerShell, Go, and JavaScript; working knowledge of SQL and NoSQL databases; understanding of cloud technologies such as Azure, AWS and GCP with a platform / tool agnostic mindset with flexibility to adapt to new technologies such as Splunk & Crible; experience working across multiple cloud environments is preferred Experience with event and log management systems; proficiency in Linux and Windows operating systems Excellent problem-solving and communication skills Ability to write efficient, maintainable, and scalable code for data ingestion and transformation; strong analytical thinking and ability to communicate technical concepts clearly Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Senior Logging & Data Engineer at KPMG US.
KPMG US provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients and is enabled by a culture that encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities.
Responsibilities
- Design, build, and maintain robust data pipelines for structured and unstructured data
- Ingest and parse large volumes of data from diverse sources including RESTful APIs, ETL tools, databases, Kafka, Windows event logs, and network devices such as switches, routers, and firewalls
- Develop and maintain custom code to support end-to-end data flow and transformation
- Collaborate with cross-functional teams to define data requirements and ensure data quality and integrity
- Manage and optimize log management platforms
- Apply scripting and programming skills (Python, PowerShell, Go, JavaScript) to automate data workflows and support analytics use cases; troubleshoot data issues and provide technical support to internal stakeholders
Qualifications
All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws.
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