Data Pipelines Lead Engineer- Manager
About The Position
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 to join our Digital Nexus technology organization. This is a hybrid work opportunity.
Requirements
- 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; minimum of a high school diploma or GED is required
- 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
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
- Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Benefits
- KPMG offers a comprehensive compensation and benefits package.
- Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health.
- Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year.
- Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Professional, Scientific, and Technical Services
Number of Employees
5,001-10,000 employees
