10 of 10 Apache Spark Jobs in the East of England

design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform . The ideal candidate will have deep expertise in Databricks architecture, Apache Spark, Delta Lake, data engineering, cloud platforms, and enterprise data solutions. Key Responsibilities Design and architect Databricks Lakehouse solutions for large-scaleenterprise data … Databricks implementation, including architecture, development, deployment, and optimization. Define Databricks workspace architecture, clusterstrategies, security models, and operational standards. Design and developscalable data pipelinesusing Databricks, Apache Spark, PySpark, SQL, andDelta Lake . Implement data ingestionframeworks supporting batchand real-timedata processing. Design Delta Lake architectures including: Delta tables Medallion architecture ...

solutions. Pipeline Development : Develop and configure meta-data driven data pipelines using data orchestration tools such as Azure Data factory and engineering tools like Apache Spark to ensure seamless data flow. Monitoring and Failure Recovery: Implement monitoring procedures to detect failures or unusual data profiles and establish recovery … using SQL to query and manipulate data. Proficiency in cloud data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Factory or AWS equivalents. Spark/Pyspark or Python skills. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. MS Fabric interest, skills or experience ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

related field, or equivalent practical experience. Experience with AWS or GCP, Kubernetes, SQL warehouse and batch-processing technologies such as Trino, Presto or Spark, Kafka or other streaming systems, and Go or Python would be useful. Node.js experience is a plus. We value transferable evidence over an exact match ...

Experience supporting the Intelligence Community or Department of Defense environments Experience with Python and working with databases Experience with big data frameworks such as Spark, PySpark, or Elastic Search Experience with data visualization platforms such as Kibana, Foundry Workshop, or Palantir Knowledge of secure coding practices and development ...

core component of the role is applying, modifying and designing algorithms and mathematical models to solve business problems using big data architectures (Hadoop, Spark, Cloud). In this role, your primary modelling focus will be neural network‐based forecasting, with a strong emphasis on rigorous evaluation against robust baselines ...

leadership teams. Minimum Qualifications Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Proficiency in data querying using SQL, Spark, or equivalent technologies Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala) Excellent communication and multi-functional collaboration skills ...

Python is required . Proficiency in at least one object-oriented language. Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto. Experience with AWS, GCP, or Looker (advantageous but not essential). Solid background in data modelling, including the design, implementation ...

such as Pipeline Builder or AIP, or similar platforms for application develop ment and data integration Experience with distributed data and compute, such as Spark or Databricks, Hadoop or Hive, Kafka, or AWS EMR, and cloud environments used by the IC Experience with geospatial analysis tools, such as ArcGIS … such as Pipeline Builder or AIP, or similar platforms for application develop ment and data integration Experience with distributed data and compute, such as Spark or Databricks, Hadoop or Hive, Kafka, or AWS EMR, and cloud environments used by the IC Experience with geospatial analysis tools, such as ArcGIS ...

across devices and platforms to surface key metrics. The role emphasizes coding in Python, strong SQL, and experience with large data ecosystems (HDFS, Hive, Spark, Airflow). You will influence architecture and own initiatives from concept to delivery. Hybrid work from Cambridge Office. #J-18808-Ljbffr ...