Our customer provides modern equipment and solutions to modernize buildings, making life-cycles longer and more sustainable and safer for urban people. They need to strengthen their team developing a critical maintenance and repair 24/7 service. Ideally you have a background in data science combined with software development skills and experience.
You will be a great add to the team with skills like proficient data preprocessing, cleaning and analysis with tools like Python and SQL. Strong basis with ML algorithms and techniques and experience with model training and deployment. Familiarity with AWS services, big data technologies, data visualization and databases relational and NoSQL is relevant. It is also helpful if you happen to have some understanding of serverless computing and data engineering. Best practices regarding cloud security and data privacy will be in good use too.
You will be in close communication and cooperation with cross-functional teams. Making complex technical findings and insights understandable to non-tech stakeholders is hopefully routine to you. Previous experience with maintenance business and specific software is a valuable asset!
Keywords: Python, SQL, AWS S3, AWS Glue, Apache Spark, DynamoDB, AWS Lambda