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