Job Title: Senior Data Engineer
Design and develop scalable data pipelines using PySpark, SparkSQL, SQL, and AWS Glue, applying dimensional modelling principles to deliver robust data solutions. You will collaborate with cross-functional teams to translate business needs into system and data requirements.
Key Responsibilities:
* Apply data warehousing concepts to create data solutions on AWS cloud that are efficient, scalable, and secure.
Required Skills and Qualifications:
* 3-5 years' experience in big data engineering, including SQL, PySpark, and AWS Glue.
* Strong understanding of cloud computing and data architecture (Lakehouse & DW).