201 to 225 of 472 Apache Spark Jobs in England

Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please note - this role cannot offer More ❯

. Experience in using cloud-native services for data engineering and analytics. Experience with distributed systems, serverless data pipelines, and big data technologies (e.g., Spark, Kafka). Ability to define and enforce data governance standards. Experience in providing architectural guidance, mentorship and leading cross-functional discussions to align on More ❯

. Experience in using cloud-native services for data engineering and analytics. Experience with distributed systems, serverless data pipelines, and big data technologies (e.g., Spark, Kafka). Ability to define and enforce data governance standards. Experience in providing architectural guidance, mentorship and leading cross-functional discussions to align on More ❯

with attention to detail and accuracy. Adept at queries, report writing, and presenting findings. Experience working with large datasets and distributed computing tools (Hadoop, Spark, etc.) Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.). Experience with data profiling tools and processes. Knowledge More ❯

with attention to detail and accuracy. Adept at queries, report writing, and presenting findings. Experience working with large datasets and distributed computing tools (Hadoop, Spark, etc.) Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.). Experience with data profiling tools and processes. Knowledge More ❯

governance. Cloud Computing : AWS, Azure, Google Cloud for scalable data solutions. API Strategy : Robust APIs for seamless data integration. Data Architecture : Finbourne LUSID, Hadoop, Spark, Snowflake for managing large volumes of investment data. Cybersecurity : Strong data security measures, including encryption and IAM. AI and Machine Learning : Predictive analytics, risk More ❯

governance. Cloud Computing : AWS, Azure, Google Cloud for scalable data solutions. API Strategy : Robust APIs for seamless data integration. Data Architecture : Finbourne LUSID, Hadoop, Spark, Snowflake for managing large volumes of investment data. Cybersecurity : Strong data security measures, including encryption and IAM. AI and Machine Learning : Predictive analytics, risk More ❯

learning algorithms and general statistical methodologies and theory. Advanced knowledge of AB testing and design of experiment. Advanced Python and SQL skills, experience using Spark for processing large datasets. Understanding of software product development processes and governance, including CI/CD processes and release and change management. Familiarity with More ❯

Python); Software collaboration and revision control (e.g., Git or SVN). Desired skills and experiences: ElasticSearch/Kibana Cloud computing (e.g., AWS) Hadoop/Spark etc. Graph Databases Educational level: Master Degree More ❯

. Experience in using cloud-native services for data engineering and analytics. Experience with distributed systems, serverless data pipelines, and big data technologies (e.g., Spark, Kafka). Ability to define and enforce data governance standards. Experience in providing architectural guidance, mentorship and leading cross-functional discussions to align on More ❯

. Experience in using cloud-native services for data engineering and analytics. Experience with distributed systems, serverless data pipelines, and big data technologies (e.g., Spark, Kafka). Ability to define and enforce data governance standards. Experience in providing architectural guidance, mentorship and leading cross-functional discussions to align on More ❯

and investing independent time towards learning, researching, and experimenting with new innovations in the field. Experience working with technologies like SageMaker, Athena/Trino, Spark, Milvus, and OpenSearch. At Rakuten Viber, we connect people-no matter who they are, or where they are from. As a communication platform that More ❯

and their techniques. Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies (e.g., Kafka, Spark Streaming, and Kinesis). • Strong sense of ownership combined with collaborative approach to overcoming challenges and influencing organisational change. Amazon is committed to a More ❯

strategically about business, product, and technical challenges in an enterprise environment - Extensive hands-on experience with data platform technologies, including at least three of: Spark, Hadoop ecosystem, orchestration frameworks, MPP databases, NoSQL, streaming technologies, data catalogs, BI and visualization tools - Proficiency in at least one programming language (e.g., Python More ❯

background with 5+ years of experience in blockchain, cryptocurrency, and backend software development. Technologies we use (experience not required): AWS serverless architectures Kubernetes PostgreSQL Spark Typescript Terraform Kafka Github including Github Actions Java About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the More ❯

Development Work with engineering teams to develop an AI-driven observability and automation platform, leveraging: Telemetry ingestion (Kafka, OpenTelemetry, Fluentd). Streaming analytics (Flink, Spark, CEP engines). AI-driven anomaly detection & automation (AutoGPT, LangChain, MLflow, TensorFlow). Define technical requirements and architecture priorities for engineering teams. Partner with More ❯

of Java and its ecosystems, including experience with popular Java frameworks (e.g. Spring, Hibernate). Familiarity with big data technologies and tools (e.g. Hadoop, Spark, NoSQL databases). Strong experience with Java development, including design, implementation, and testing of large-scale systems. Experience working on public sector projects and More ❯

DynamoDB, MSK). Our Technology Stack: Python and Scala Starburst and Athena Kafka and Kinesis DataHub ML Flow and Airflow Docker and Terraform Kafka, Spark, Kafka Streams and KSQL DBT AWS, S3, Iceberg, Parquet, Glue and EMR for our Data Lake Elasticsearch and DynamoDB More information: Enjoy fantastic perks More ❯

technologies. Experienced in writing and running SQL and Bash scripts to automate tasks and manage data. Skilled in installing, configuring, and managing Hive on Spark with HDFS. Strong analytical skills with the ability to troubleshoot complex issues and analyze large volumes of text or binary data in Linux or More ❯

technologies. Experienced in writing and running SQL and Bash scripts to automate tasks and manage data. Skilled in installing, configuring, and managing Hive on Spark with HDFS. Strong analytical skills with the ability to troubleshoot complex issues and analyze large volumes of text or binary data in Linux or More ❯

and their techniques. Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies (e.g., Kafka, Spark Streaming, and Kinesis). Strong sense of ownership combined with a collaborative approach to overcoming challenges and influencing organisational change. Amazon is an equal More ❯

experience working within a data driven organization Hands-on experience with architecting, implementing, and performance tuning of: Data Lake technologies (e.g. Delta Lake, Parquet, Spark, Databricks) API & Microservices Message queues, streaming technologies, and event driven architecture NoSQL databases and query languages Data domain and event data models Data Modelling More ❯

visualisation , proficiency in tools such as Power BI or Tableau is key to presenting findings clearly and effectively. Familiarity with big data technologies like Spark is a plus, enabling you to work with larger datasets and distributed computing environments. On the softer side, the right candidate will demonstrate strong More ❯

on a contract basis. You will help design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi These roles are supporting our clients team in Worcester (fully onsite), and requires active UK DV clearance. Key Responsibilities: Design, develop, and maintain … secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi Implement data ingestion, transformation, and integration processes, ensuring data quality and security Collaborate with data architects and security teams to ensure compliance with security policies and data governance standards Manage and monitor large-scale … Engineer in secure or regulated environments. Expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana) for data ingestion, transformation, indexing, and visualization. Strong experience with Apache NiFi for building and managing complex data flows and integration processes. Knowledge of security practices for handling sensitive data, including encryption, anonymization, and access More ❯

processing large-scale data. Experience with ETL processes for data ingestion and processing. Proficiency in Python and SQL. Experience with big data technologies like Apache Hadoop and Apache Spark. Familiarity with real-time data processing frameworks such as Apache Kafka or Flink. MLOps & Deployment: Experience deploying and More ❯