What you will be doingAs a Data Engineer, you will be an integral member of the Data Harmonisation Layer (DHL) Agile team. DHL is a global platform designed to collect and harmonize of data from various Operational Technology (OT) data sources across Novo Nordisk production facilities. DHL makes data easily accessible to develop several front-end Manufacturing Intelligence (MI) products, focusing on improving our production processes. Key technologies used in DHL are Kafka, Ignition, and AWS services.Your main responsibilities include: Software development activities i.e., writing, reviewing, refactoring, testing, and documenting the code base Build production ready stable and scalable data pipelines and associated infrastructure Act as a trusted advisor to provide technical expertise on one or more projects for our business partners Work with the Agile teams to understand and handling enabler work and work towards technical agility Contribute in Agile events such as Program Increment (PI) planning, system demos, and Inspect and Adapt (I&A) Key Requirements A bachelor’s degree in computer science, engineering, chemistry, biology, or other relevant fields Experienced with data engineering principles such as data warehousing, batch processing, data streaming, data lakes, databases, and data modelling Experience with building CI/CD pipelines Coding/scripting skills (Bash, Python, or similar) Hands-on experience in AWS services such as Lambda, Glue, IAM, Kinesis, MKS, Step Functions, DMS, RDS, Managed Grafana, SNS, S3, CloudWatch, etc. Hands-on experience with IaC for managing the cloud Strong mathematical, statistical, and problem-solving skills