15 of 15 Apache Spark Jobs in the Thames Valley

Databricks. Solid understanding of ETL processes , data modeling, and data warehousing. Familiarity with SQL and relational databases. Knowledge of big data technologies , such as Spark, Hadoop, or Kafka, is a plus. Strong problem-solving skills and the ability to work in a collaborative team environment. Excellent verbal and written More ❯

platform management roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level More ❯

to support business insights, analytics, and other data-driven initiatives. Job Specification ( Technical Skills) : Cloud Platforms: Expert-level proficiency in Azure (Data Factory, Databricks, Spark, SQL Database, DevOps/Git, Data Lake, Delta Lake, Power BI), with working knowledge of Azure WebApp and Networking. Conceptual understanding of Azure AI More ❯

industry is advantageous. Desirable Technical Skills & Qualifications: Proficiency in SQL scripting for querying and manipulating data. Familiarity with big data technologies such as Databricks, Spark, and Python. What's in it for you? Competitive salary up to £87,000 per annum, depending on experience. Annual Leave - 26 days holiday More ❯

extracting value from large datasets Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience with Apache Spark/Elastic Map Reduce Experience with continuous delivery, infrastructure as code More ❯

Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance Proficiency in SQL and familiarity with Azure DevOps Pipelines and Apache Spark Excellent stakeholder engagement and communication skills Relevant certifications (e.g., Azure Solutions Architect Expert or TOGAF) a plus Must be eligible for SC More ❯

Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance Proficiency in SQL and familiarity with Azure DevOps Pipelines and Apache Spark Excellent stakeholder engagement and communication skills Relevant certifications (e.g., Azure Solutions Architect Expert or TOGAF) a plus Must be eligible for SC More ❯

data at scale/data pipelines, with any experience of bioinformatics/genome data advantageous. Experience of data processing platforms such as Kafka and Spark would also be useful Strong experience with Python, with any additional skills with R and/or C++ of benefit Experience of building a More ❯

data at scale/data pipelines, with any experience of bioinformatics/genome data advantageous. Experience of data processing platforms such as Kafka and Spark would also be useful Strong experience with Python, with any additional skills with R and/or C++ of benefit Experience of building a More ❯

each stage of implementation. Requirements: Excellent experience working with cloud platforms such as Azure, AWS & GCP. Strong background with big data technologies such as Spark, Snowflake & Kafka. Excellent stakeholder management skills Telecommunications background Further details available upon request. More ❯

each stage of implementation. Requirements: Excellent experience working with cloud platforms such as Azure, AWS & GCP. Strong background with big data technologies such as Spark, Snowflake & Kafka. Excellent stakeholder management skills. Telecommunications background. Further job details available upon request. ECS Recruitment Group Ltd is acting as an Employment Business More ❯

each stage of implementation. Requirements: Excellent experience working with cloud platforms such as Azure, AWS & GCP. Strong background with big data technologies such as Spark, Snowflake & Kafka. Excellent stakeholder management skills. Telecommunications background. Further job details available upon request. Please note, due to internal capabilities it will be difficult More ❯

quality data solutions. Automation: Implement automation processes and best practices to streamline data workflows and reduce manual interventions. Must have: AWS, ETL, EMR, GLUE, Spark/Scala, Java, Python. Good to have: Cloudera - Spark, Hive, Impala, HDFS, Informatica PowerCenter, Informatica DQ/DG, Snowflake Erwin. Qualifications: Bachelor's More ❯

APIs. Establish best practices for versioning, documentation, security, and monitoring. Real-Time Data Architecture Build and manage data streaming pipelines using frameworks such as Spark, Kafka, or equivalents. Ensure high-availability and low-latency delivery of market and industry data. Azure Deployments Deploy and operate services on Azure using … with a proficiency in Python; comfortable working with other languages (e.g. C#, JavaScript) Hands-on experience building and operating real-time streaming solutions (e.g., Spark Streaming, Kafka, Event-Hub) Thorough understanding of Azure services (Functions, App Services, AKS). Proven design and integration with deploying API frameworks (e.g. FastAPI More ❯

APIs. Establish best practices for versioning, documentation, security, and monitoring. Real-Time Data Architecture Build and manage data streaming pipelines using frameworks such as Spark, Kafka, or equivalents. Ensure high-availability and low-latency delivery of market and industry data. Azure Deployments Deploy and operate services on Azure using … with a proficiency in Python; comfortable working with other languages (e.g. C#, JavaScript) Hands-on experience building and operating real-time streaming solutions (e.g., Spark Streaming, Kafka, Event-Hub) Thorough understanding of Azure services (Functions, App Services, AKS). Proven design and integration with deploying API frameworks (e.g. FastAPI More ❯