8 of 8 Apache Beam Jobs in the UK

platform at scale, ideally in a consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale ...

production-grade solutions using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer . Frameworks & Storage: Strong understanding of batch/streaming tools (e.g., Apache Spark, Apache Beam ) and when to apply different storage paradigms (relational, columnar, document, data lakes). Modern Best Practices: Active practice with ...

Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink. Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata ...

data processing solutions using BigQuery, Pub/Sub, Dataflow and Dataproc Experience developing end‐to‐end solutions using batch and streaming frameworks such as Apache Spark and Apache Beam. Expert understanding of when to use a range of data storage technologies including relational/non‐relational, document ...

threads about building with AI. MLOps and model serving experience (BentoML, MLflow, Vertex AI, SageMaker). Streaming and batch ingestion pipelines (Spark, Airflow, Beam, Glue). Healthcare or life sciences domain exposure. AWS Professional certification or other relevant industry certifications. What We Offer At Newpage, we’re building ...

technical program manager. Data Engineering Proficiency : Expertise in SQL, Python, Pandas, Matlab, or R. Bonus if familiarity with Influx, Grafana, Spark, Polars, Arrow, Kafka, Beam, and Flink. [Bonus] In-Field Hardware Mastery : Proficiency with hardware engineering tools such as DAQs, DDS, Nix, RTOS, MCAP, H5, TDMS, LabVIEW, Simulink ...

just notebooks. The Full ML Lifecycle: Expertise in end-to‐end system design: from feature stores and real‐time data pipelines (Kafka/Beam) to A/B testing infrastructure and model monitoring. You understand the nuances of online vs. offline evaluation and have experience solving for feedback loops ...

data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. Benefits ...