big Data Software Engineer Resume Sample
Work Experience
- Work in cross-disciplinary teams with KPMG industry experts to understand client needs and ingest rich data sources such as social media, news, internal/external documents, emails, financial data, and operational data
- Architect, implement and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, client technology stacks, and KPMG’s own clusters
- Fluency in several programming languages such as Python, Scala, or Java, with the ability to pick up new languages and technologies quickly
- Architect (Manage), implement, and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, client technology stacks, and KPMG’s own clusters
- Implement and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, client technology stacks, and KPMG’s own clusters
- Architect, implement, and test data processing pipelines and data mining / data science algorithms on a variety of hosted settings such as AWS, Azure, client technology stacks, and KPMG’s own clusters
- Rapidly architect, design, prototype, and implement architectures to tackle the Big Data and Data Science needs for a variety of Health Care related client engagements
- Work in cross-disciplinary teams with KPMG Health Care experts to understand client needs and ingest rich data sources such as social media, news, internal/external documents, emails financial data, and operational data
- Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in the Health Care industry; communicate results and educate others through insightful visualizations, reports and presentations
- Familiar with Open Source software development model and process
- Experience in big data system development, or enterprise/cloud storage system development, or database system development
- Proven track of record in programming with Java, C/C++, and/or scripting languages
- Good communication skills. Proficiency in spoken and written English
- Passion to learn new technologies
- Splunk Architect, Administrator, and Splunk Power User Certifications
- Experience with performing systems administration in Windows, Linux, or VMware environments, including performing installation and configuration, monitoring system performance and availability, and upgrades, using scripting languages to automate tasks and manipulate data, and troubleshooting
- Rapidly architect, design, prototype and implement architectures to tackle the Big Data and Data Science needs for a variety of Fortune 1000 corporations and other major organizations
- Research, experiment and utilize leading Big Data methodologies, such as Hadoop, Spark, HDInsight, Azure Data Lake Analytics, and Azure Data Warehouse
- Work in cross-disciplinary teams with KPMG industry experts to understand the needs and analytics use cases for leading Government Agencies and Clients
- Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in the Federal, State or Local areanas
- Architect, implement and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, client technology stacks, and KPMGs own clusters
- Architect, implement, and test data processing pipelines and data mining / data science algorithms on a variety of hosted settings such as AWS, Azure, client technology stacks, and KPMGs own clusters
- Architect, implement and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, client technology stacks, and KPMG's own clusters
- Mechanical Engineering - Applied Mechanics
- Solid knowledge on computer architecture, operating system, data structure & algorithm, and distributed systems
Education
How to write big Data Software Engineer Resume
big Data Software Engineer role is responsible for design, software, java, english, government, engineering, travel, security, database, languages.
To write great resume for big data software engineer job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For big Data Software Engineer Resume
The section contact information is important in your big data software engineer resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your big Data Software Engineer Resume
The section work experience is an essential part of your big data software engineer resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous big data software engineer responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular big data software engineer position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Education on a big Data Software Engineer Resume
Make sure to make education a priority on your big data software engineer resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your big data software engineer experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in big Data Software Engineer Resume
When listing skills on your big data software engineer resume, remember always to be honest about your level of ability. Include the Skills section after experience.