• Intermediate to Advanced R knowledge a must
⁃ Ideally 2-3 years working experience
⁃ Familiarity with the data.table package strongly desired
⁃ Familiarity with sf, shiny, and the apply family of functions
⁃ sapply, lapply, tapply, not so much mapply, or by
⁃ Experience building simple features geometries a plus
⁃ Experience building a Shiny application highly preferred, albeit not required
• Knowledge of linux or mac operating systems
⁃ If you write R code on a MacBook, or on an Ubuntu machine you’re perfect
• Willingness to learn or familiarity with Docker a plus
• Basic working knowledge of relational databases
⁃ SQL Server
• Ability to write SQL statements
• Experience using any version control system preferred, not required
⁃ Git, Bitbucket, Azure DevOps
• Ability to think logically about a problem, reason your way through it, and implement a code solution
• Familiarity with the basics of machine learning, nothing too fancy for right now.
⁃ Think: building systems to do aggregations across variables, not neural nets
• Strong attention to detail required
• Critical thought and a willingness to offer your opinion, even when it differers from leadership
⁃ Don’t just do a join, determine if the join worked perfectly.
⁃ Were observations dropped? Duplicated? Why?
• Solid work ethic.
⁃ Show us, don’t tell us.
• Most importantly, a team player
⁃ Someone with a willingness to learn from others as well as share your knowledge with the group
Candidates should be flexible / willing to work across this delivery landscape which includes and not limited to Agile Applications Development, Support and Deployment.
Software Engineers perform requirements analysis. They then design, develop or maintain the physical application (components) or the application environment, based on the Software Architecture (models and principles). Activities include coding, integrating, implementing, installing or changing frameworks and standard components, or technical and functional application management. A Software Engineer also develops languages, methods, frameworks and tools, and/or undertakes activities in support of server-based databases in development, test and production environments.
Required Skills and Experience:
You are an experienced Software Engineer. You have received training and mastered at least one technology environment. You are good at elaborating technology areas and have an ability to position them within the scope of an overall project. You are a member of at least one community.
• Qualification: 3-7 years (2 years min relevant experience in the role) experience, Bachelor’s Degree.
• Certification: Should have or seeking SE Level 1.
• Should have progressing knowledge in Business Analysis, Business Knowledge, Software Engineering, Testing, Data Management, Architecture Knowledge and Technical Solution Design.
In a world where change happens in a split second, our clients must master the art of balancing business transformation with operational excellence and cost reduction to protect their market leadership and safeguard their workforce.
They need the best and brightest talent to limit business disruption and foster future growth, all while striving to realize a new normal. In this context, it’s our people within Insights & Data that are the core enablers to support our clients in their growth journeys. To give our clients our best and brightest, we pride ourselves on being a fast-paced, fun, ethical place to work, where the “work hard, play hard” mentality holds true. Even more important is our clear commitment to creating a diverse workforce in all areas. In fact, for the ninth time in a row, Capgemini has been recognized as one of the World’s Most Ethical Companies by the Ethisphere Institute. In addition, we’ve been recognized as a top company for women by Working Mother Media.
Capgemini’s Insights & Data Americas practice is comprised of professionals with data, analytics, and AI expertise, covering the full data- and AI-powered transformation lifecycle. Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.).
We do great work at I&D that is at the forefront of innovation. We pride ourselves as an inclusive, talented, and accomplished workforce, so please contact us to explore your fit with us.
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Click the following link for more information on your rights as an Applicant – http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
With 270,000 women and men in nearly 50 countries, Capgemini is a responsible and multicultural global leader. Its purpose: unleashing human energy through technology for an inclusive and sustainable future. As a strategic partner to companies, Capgemini has harnessed the power of technology to enable business transformation for more than 50 years. The Group addresses the entire breadth of business needs, from strategy and design to managing operations. To do this, it relies on deep industry expertise and its command of fast evolving fields such as cloud, data, artificial intelligence, connectivity, software, digital engineering and platforms. In 2020, Capgemini reported global revenues of €16 billion.
Visit us at www.capgemini.com. People matter, results count.