Data Engineer

at  Cubane Solutions AB

ASSIGNMENT DESCRIPTION

• Carry out end-to-end development and delivery of AI solutions including data pre-processing, data analysis, model building, fine tuning, deployment in cloud environments and maintenance.
• Design, construct, install, test, and maintain data management systems to meet business requirements and industry practices.
• Develop and implement scripts for database maintenance, deployment, and ETL operations.
• Manage cloud services, particularly AWS and Azure, and other cloud storage systems relevant for the development of data and AI solutions.
• Monitor data performance and modify infrastructure as needed to improve existing pipelines and models.
• Collaborate with data architects, cloud architects, software developers and other IT specialists on project goals.
• Assist in developing and documenting feature lists, user stories, and roadmaps aligned with the overarching product vision.
• Collect and synthesize product feedback from stakeholders through data analysis, surveys, concept testing, analytics tools, and A/B testing.
• Communicate complex concepts effectively to non-technical stakeholders.
• Stay updated with the latest technology trends related to data science, data engineering and AI.
• Be involved in execution of academic and research projects relevant from the overall Enterprise AI organization perspective.
• Support ideation process during various internal and external ideation sessions with own technical and entrepreneurial approach and experience.
• Proactively identify business opportunities through technology driven innovation.
• Participate in knowledge sharing activities to elevate company on AI related topics.

REQUIRED SKILLS

• Experience in end-to-end development and delivery of data and AI solutions.
• Familiarity with Databricks and experience with repository management tools like Git.
• Experience with cloud services primarily AWS and / or Azure.
• Strong knowledge of Python, SQL, and experience in Java or Scala.
• Experience with big data technologies such as Spark.
• Familiarity with supervised and unsupervised machine learning tools and methods as well as with mathematical programming techniques (e.g. mixed integer linear programming).

SOFT SKILLS

• Excellent verbal communication, presentation, collaboration, and teamwork skills.
• Ability to translate business problems into data science solutions.
• Strong problem-solving skills with a proactive approach.
• Ability to adapt to rapidly changing technologies and environments.
• Strong interpersonal skills to collaborate with various stakeholders.
• High level of initiative and self-motivation.
• Curious and open-minded attitude to new approaches.

TECHNICAL SKILLS

• Bachelor’s / Master’s / Ph.D. degree in Computer Science, Software Engineering, or a related field.
• Proven experience as a Data Scientist, Data Engineer, Software Developer, or similar role.
• Experience leading and collaborating on cross-functional projects to build products and address concerns in a collaborative and timely fashion.
• Certifications in AI technologies would be an advantage.
• Experience in end-to-end development and delivery of software products in cloud environments is mandatory.

Please refer the Job description for details