5 of 5 Apache Jobs in Central London

focus areas: Building scalable data pipelines using Apache Spark & Airflow Working within a cloud-based, containerised environment (Kubernetes) Contributing to a wider data platform modernisation programme Supporting both batch and streaming workloads Tech: Python, Java, Spark, Airflow, SQL, Cloud (AWS/Azure), Kubernetes (Kafka/streaming nice to have ...

work on a Big Data Project in the finance sector. Required Experience: Java Big Data experience On-premises cluster experience Databases Kubernetes Kafka Apache Spark Preffered Experience: Finance sector experience ...

work on a Big Data Project in the finance sector. Required Experience: Java Big Data experience On-premises cluster experience Databases Kubernetes Kafka Apache Spark Preffered Experience: Finance sector experience ...

ensuring best practices in data architecture, security, and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data solutions comply … Lambda, and Redshift. Experience with other cloud providers (e.g., Azure, GCP) is a plus In-depth knowledge and hands-on experience with Apache Flink for real-time data processing Proven experience in mentoring and managing teams, with a focus on developing talent and fostering a collaborative work environment Strong ...

designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives across … Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience designing ...