Overview
KPMG is known for being a great place to work and build a career. We provide audit, tax and advisory services for organizations in todays most important industries. Our growth is driven by delivering real results for our clients and supported by a culture that encourages development, embraces inclusion, rewards innovative excellence, and supports our communities.
KPMG is currently seeking a Senior Associate, Logging & Data Engineer to join our Digital Nexus technology organization. This is a hybrid work opportunity.
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
Minimum 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 preferredBachelor's degree from an accredited college or university is preferredProficiency 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 and flexibility to adapt to new technologies; experience working across multiple cloud environments is preferredExperience with event and log management systems; proficiency in Linux and Windows operating systemsExcellent problem-solving and communication skillsAbility to write efficient, maintainable, and scalable code for data ingestion and transformation; strong analytical thinking and ability to communicate technical concepts clearlyApplicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the futureEmployment details
Seniority level : Mid-Senior levelEmployment type : Full-timeJob function : General BusinessAdditional information
KPMG LLP and its affiliates and subsidiaries comply with all applicable federal, state and local laws regarding recruitment and hiring. KPMG is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable laws.
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