Data Engineer AWS

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
• Day-to-day troubleshooting of forecasting systems mainly working through data anomalies that cause inaccurate forecasts or prevent forecasts’ generation.
• Collaborate with the data science team to enhance existing forecasting systems for the trade floors.
• Create dynamic object-oriented methods full stack solutions and integrations to existing code solutions.
• Develop individual Python classes methods functions that support the data flow of existing and new projects.
• Work on code additions to seamlessly support projects for data flows including logging and support with little to no supervision.
• Experience in modifying packages testing and repository instances to support CI/CD.

Required Technical and Professional Expertise
Experience:
(Minimum of 3 to 4 years ) hand on experience in data analysis machine learning or a related field.
Experience with data visualization tools such as Tableau Power BI or matplotlib.
Familiarity with big data technologies such as Hadoop Spark or NoSQL databases is a plus.

Skills:
Proficiency in programming languages such as Python R or SQL.
Strong understanding of machine learning algorithms and statistical methods.
Experience with data preprocessing and feature engineering.
Ability to communicate complex technical concepts to non-technical stakeholders.
Excellent problem-solving skills and attention to detail.
Ability to work effectively in a collaborative team environment.

Preferred Technical and Professional Expertise
Experience with cloud platforms such as AWS Google Cloud or Azure.
Knowledge of software development practices including version control (Git) and continuous integration/continuous deployment (CI/CD).