Data Engineer/Data Scientist - Associate Program

Introduction
As a Data Engineer/Data Scientist at IBM, get ready to tackle numerous mission-critical company directives. Our team takes on the challenge of designing, developing and re-engineering high quality and impactful business solutions using data engineering and data science tools and practices. You will use a mix of consultative skills, business knowledge, and technical expertise to effectively build data and AI business solutions into our clients' business environment and achieve business results.

Your Role and Responsibilities
- Work with clients to implement data engineering and data science solutions, across a variety of industries, and projects of all sizes, scope and clouds
- Focus on high quality delivery and client satisfaction, and contribute to the growth of the business

- Conduct business / functional discussions, understand clients' business pain points, and offer solutions leveraging IBMs relevant assets processes and methods.
- Design, build, and deliver tailored solutions for the business
- Provide functional and technical specifications and maintain overall documentation for the business
- Perform system testing and support user acceptance testing activities (user guidance, troubleshooting)

Required Technical and Professional Expertise
- Hands-on experience in Data Engineering/Data Science solutions
-Good understanding of SQL and relational databases
-Analytical skills related to working with structured and unstructured datasets.
-Good understanding and hands on experience in Python
- Understanding of testing fundamentals, and hands-on experience in test cases execution
- Solid presentation and communication skills
- Critical thinking and problem-solving skills
- Growth mindset
- Fluent written and verbal communication in English and Greek
- Military obligations fulfilled (if applicable)

Preferred Technical and Professional Expertise
-Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. - Have some experience in one or more of the following software/tools: Hadoop, Spark, Kafka, Mongo, Spark-Streaming, Python.
-Experience in Cloud architectures and development tools Azure, AWS, Google Cloud, IBM Cloud.