Job Description
- Strong hands-on experience with streaming and Real Time data technologies, such as Kafka, Google Pub/Sub, or AWS Kinesis
- Solid understanding of data warehousing concepts, including relational modelling, indexing strategies, query optimisation, and platform administration
- Proficiency in one or more programming languages, preferably Python, Go, and SQL
- Experience designing, deploying, and managing production-grade data systems on cloud platforms such as GCP and/or AWS
- Hands-on experience with distributed data processing frameworks like Apache Spark or Apache Beam, particularly in large-scale environments