Data Pipeline Lead Engineer I

Known for being a great place to work and build a career, KPMG 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. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking a Data Pipelines Lead Engineer I to join our Digital Nexus technology organization. This is a hybrid work opportunity.

Responsibilities:

• Design, implement, and manage data observability and pipeline solutions; develop and maintain data pipelines to ensure efficient data flow and processing
• Work with application, network, server, and security teams to onboard/troubleshoot data sources
• Integrate observability tools with various data sources and destinations, ensuring seamless data ingestion and routing; monitor and troubleshoot observability environments to ensure optimal performance and reliability
• Collaborate with data producers and consumers to understand use cases and refine data processing workflows; conduct proof of concepts (PoCs) to evaluate new tools and techniques for data observability
• Identify and recommend areas for improvement in existing data monitoring and observability processes
• Create and maintain documentation for configurations, processes, and best practices; stay updated with the latest industry trends and best practices in data observability and monitoring
  
  

Qualifications:

• Minimum five years of recent experience with data observability and pipeline tools (Splunk, Datadog, Cribl)
• Bachelor's degree from an accredited college or university in computer science, information technology, or a related field is preferred
• Strong scripting skills (for example: Python, Bash, PowerShell, JavaScript); experience with data observability tools and practices
• In-depth knowledge of data collection, transformation, and routing methodologies; practical experience with system integration and data flow management
• Knowledge of Configuration Management Database (CMDB) practices and tools; proficiency in Linux and Windows operating systems
• Excellent problem-solving and analytical skills; strong communication and collaboration abilities; ability to work independently and as part of a team in a fast-paced environment
• 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)
  
  

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Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.