Data Engineer

Research Triangle Park, North Carolina, US

Full Time
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Posted 1 week ago


Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.


Your Role and Responsibilities
In this Data Engineer role, you will provide scientific leadership and execution to support our business products and services!

Responsibilities include:
  • Communicate work to and receive feedback by technical and non-technical audiences
  • Work with business partners to develop strategies and value from our datasets
  • Implement scalable cutting-edge solutions with machine learning and models
  • Develop POCs with quick turnaround to suffice the needs of business stakeholders
  • Leverage data management processes, available infrastructures, and API tools to develop codebases and solutions
  • Collaborate with engineers, stakeholders, and other team members to establish an analytics platform or/and standard procedures for use across the business
  • Using and improving System to accurately and efficiently identify risk based on multiple data sets and data points (e.g., person, location, activity)
  • Designing, developing and testing data analysis/collection and visualization applications in programming language(s) of choice
  • Communication and Interpersonal Skills
  • Understanding of Data modelling and schema design
  • Problem-Solving Intellect, particularly challenging real-world problems

IBM will not be providing visa sponsorship for these positions now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The Team
You will be working with the Marketing Events tribe (#BestTribeEver). This dynamic tribe is responsible for the development and support of the Marketing Event tools used for Think and the 6K medium/small marketing events IBM hosts per year. The Marketing Event tools facilitate all aspects of the marketing global event process including planning, pre-event activity, execution, post event activity, reporting and lead routing.

The Ideal Candidate has strong knowledge, deep experience, or/and superb potential in the aspects below.

CIODEM20


Required Technical and Professional Expertise
  • A minimum of 5 years of experience as data professional (big data solutions)
  • A minimum of 5 years of experience in statistical methods (e.g., correlations and regressions, anova, resampling, effect size)
  • Hands-on experience with Machine-learning Techniques (e.g., clustering, decision trees, nearest-neighbors, support vector classifiers, ensemble methods, collaborative filtering)
  • Demonstrated experience with Algorithm Development in main languages to our business such as Python, Scala, java, and Spark
  • Demonstrated knowledge of a cross section of tools and techniques relating to support of large-scale data analysis
  • Good experience working in different Cloud native technologies like Kubernetes or/and OpenShift.
  • Good experience in relational and non-relational Databases.
  • Proven understanding and proficiency of database administration and data structures



Preferred Technical and Professional Expertise
Experience with the following:
  • Airflow
  • Kafka
  • Cloudant
  • Db2
  • Algorithm Development in additional languages (e.g., R, JavaScript, Bash Scripts)
  • Experience with Agile/Scrum methodologies/development – ability to accurately size user stories



About Business Unit
The Office of the Chief Information Officer (CIO) owns IBM’s IT strategy and provides the tools, workstations, devices, and infrastructure that IBMers use to do their jobs every day. Put simply, our mission is to create a productive environment for IBM's 365,000 worldwide employees. Join us as we lead with with design to drive simplicity and ease of use, engineering the systems that run the business, and innovating to transform the business.


Your Life @ IBM
What matters to you when you’re looking for your next career challenge?

Maybe you want to get involved in work that really changes the world? What about somewhere with incredible and diverse career and development opportunities – where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust – where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible.

Impact. Inclusion. Infinite Experiences. Do your best work ever.


About IBM
IBM’s greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.


Location Statement
IBM will not be providing visa sponsorship for this position now or in the future.  Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.


Being You @ IBM
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.











Job tags: Airflow Big Data Consulting Engineering Java JavaScript Kafka Kubernetes Machine Learning Marketing Python R Scala Scrum Spark