• Engineer efficient, reliable and scalable data pipelines

• Working in a cross skilled squad with people both from business and technology to build intuitive data products

• Work on diverse data technologies such as Spark, Trino and Airflow

Who are you

• A team player

• The customer s biggest fan

• Comfortable being uncomfortable

• Continuous improvement junkie

• Committed to your own and other s growth

• A problem solver

• MS or BS in Computer Science, Engineering, Mathematics, Statistics and equivalent practical experience in Data Engineering

• 10 years experience with strong background in at least one of the following: distributed data processing, software engineering of data services, or data modelling.

• Proficient in at least one major programming language (eg. Python, Scala, Java)

• Comfortable with complex SQL

• Proficient in engineering data pipelines using big data technologies (Spark, Trino, Airflow) on large scale data sets

• Proficient with Jupyter Notebook or similar.

• Conceptually familiar with cloud resources (S3, Kubernetes)

• Extensive experience working within cross-functional, agile or continuous delivery teams

• Experience with migration to Cloud Technologies will be an added advantage.