Design, build, launch, optimize and extend full-stack data and business intelligence solutions spanning extraction, storage, complex transformation and visualization layers. Develop big data analytics and cloud-based applications to facilitate the work of data scientists and application developers. Assess, capture and translate complex business issues and solution requirements into structured technical tasks for the data engineering team, including rapid learning of industry standards and development of effective work stream plans. Support build of big data environments that enable analytics solutions on a variety of big data platforms, including assessing the usefulness of new technologies and advocating for their adoption. Serve as the primary point of contact for question and escalations related to data architecture and solutions applicable to business problems or use cases. Pursue business development opportunities. Establish and maintain client relationships and professional networks.
WORK SCHEDULE: 40 hours per week, M-F (9:00 a.m. – 5:00 p.m.) JOB REQUIREMENTS: Must have a Master's degree or foreign equivalent in Computer Science, Computer Applications, Information Technology, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent in Computer Science, Computer Applications, Information Technology, or a related field, and 5 years of post-bachelor's, progressive related work experience. Of the required experience, must have 2 years of experience with the following: Creating and maintaining ETL and ELT pipelines operating on Application Programming Interface (API), File Transfer Protocol (FTP) sites, cloud-based blob stores, databases, unstructured data, and Geographic Information system (GIS) data; Performing operational programming tasks, including version control, Continuous Integration/Continuous Delivery (CI/CD), testing and quality assurance and within cloud platforms including AWS, Azure, or GCP; Cloud platform including Databricks, Azure Data Lake Storage, and Azure Data Factory; SDLC methodologies including Agile and Azure DevOps; and Using at least one of the following programming languages: Python, Scala, R, Java, Golang, Kotlin, C, or C++. Of the required experience, must have 1 year of experience with the following: Using Apache data projects including Hadoop, Spark, Hive, and Airflow. Employer will accept any suitable combination of education, training, or experience. QUALIFIED APPLICANTS: Apply online at and type requisition number 123057 in the keyword search box for Experienced Professionals. Should you have any difficulty in applying for this position through our website, please contact us-hrscatsadmin@kpmg.com for assistance in the application process. Must have legal right to work in U.S. if offered employment. Comprehensive Compensation & Benefits Offered. KPMG is an EOE/disability/veteran and maintains a drug-free workplace. No phone calls or agencies. KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. 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 the firm publishes a calendar of holidays to be observed during the year and provides two firmwide 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. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at “Benefits & How We Work”. © 2025 KPMG LLP, a Delaware limited liability partnership and a memberfirm of the KPMG global organization of independent member firms affiliatedwith KPMG International Limited, a private English company limited by guarantee....SUMMARY Great opportunity for a Plant Manager or Sr. Production Manager to build out team for a global petrochemical, fine chemical, and food ingredients manufacturing company in West Virginia! Relocation assistance provided. RESPONSIBILITIES The Production Head...
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