1 to 25 of 137 Apache Spark Jobs in England

Platforms Must have 8+ years' Experience with Relational Databases like Oracle, NoSQL Databases and/or Big Data technologies (e.g. Oracle, SQL Server, Postgres, Spark, Hadoop, other Open Source). Must have experience in Data Security Solutions (Identity and Access Management and Data Security Access Management) Must have 3+ more »

they are on the lookout for 2 AWS Data Engineers to come in on a contract basis. Key Skills/Requirements: Must have Python & Spark experience Must have strong AWS experience Must have Terraform experience SQL & NoSQL experience Have built out Data Warehouses & built Data Pipelines Strong Databricks & Snowflake more »

within an e-commerce or online business context. Commercially minded, thinking about ways to increase revenue & profitability. Proficiency in data manipulation tools (Python, Pandas, Spark, SQL) and data visualization tools (Apache Superset, Tableau, Power BI, ggplot2) and MS Excel. Grasp of pricing strategies, market dynamics, and consumer behaviour more »

CI/CD/YAML/ARM/Terraform MSBI Traditional Stack (SQL, SSAS, SSIS, SSRS) Azure Automation/PowerShell Azure Streaming Analytics/Spark Streaming Azure Functions/C# .NET PowerApps Data Science Master Data Management/MDS WHY ADATIS? There’s a long list of reasons, from more »

engineer will supply advice to analytical users on how they can access and utilise the new datasets. Qualities Comfortable with Python - ideally experience with Apache Spark and Pyspark Previous data analytics software experience Able to scope new integrations and translate analytical user needs into technical requirement. UK based more »

equity financing to mid-market and late-stage companies. Liquidity Group is backed by leading global financial institutions including Japan’s largest bank, MUFG, Spark Capital, and Apollo Asset Management. About the role We're on the lookout for accomplished credit professionals to assume the role of Director within more »

in data science, preferably within the energy or utilities sector. Technical Skills: Proficiency in Python, R, SQL, and big data technologies such as Hadoop, Spark, or Kafka. Experience with machine learning frameworks such as TensorFlow or PyTorch. Analytical Skills: Strong problem-solving skills with the ability to derive meaningful more »

to: Backend technology, Python. Databases like MSSQL. Front-end technology, Java. Cloud platform, AWS. Programming language, JavaScript (React.js) Big data technologies such as Hadoop, Spark, or Kafka. What We Need from You: Essential Skills: A degree in Computer Science, Engineering, or a related field, or equivalent experience. Proficiency in more »

model training, evaluation, and productionization. - Strong programming skills in Python, with proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and data engineering tools (e.g., Kafka, Spark). - Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable and reliable ML model deployment. - Solid understanding of data privacy more »

experience with Python (2+ Years) Experience working with REST Microservices Strong SQL Experience working with very large data sets. Knowledge of big data tools (Spark, Kafka etc) Experience working in finance (Preferred) Strong formal education - ideally in Computer Science If this sounds of interest, then please do not hesitate more »

data components such as Azure Data Factory, Azure SQL DB, Azure Data Lake, etc. Strong Python and SQL skills for data manipulation Experience with Apache Spark and/or Databricks. Familiarity with BI visualization tools like Power BI Experience in managing end-to-end analytics pipelines (batch and … such as Azure Data Engineer Associate are desirable. Knowledge of data ingestion methods for real-time and batch processing Proficiency in PySpark and debugging Apache Spark workloads. What’s in it for you? Annual bonus scheme – up to 10% Excellent pension scheme Flexible working Enhanced family friendly policies more »

processes, and data warehousing. - Significant exposure and hands on at least 2 of the programming languages - Python, Java, Scala, GoLang. - Significant experience with Hadoop, Spark and other distributed processing platforms and frameworks. - Experience working with Open table/storage formats like delta lake, apache iceberg or apache hudi. - Experience of developing and managing real time data streaming pipelines using Change data capture (CDC), Kafka and Apache Spark. - Experience with SQL and database management systems such as Oracle, MySQL or PostgreSQL. - Strong understanding of data governance, data quality, data contracts, and data security best practices. - Exposure more »

pipelines Know your way around Unix based operating system Experience working with any major cloud provider (AWS, GCP, Azure) Fluency in English Experience using Apache Airflow Experience using Docker Experience using Apache Spark Benefits: Salary £40-50K per annum dependant on skills and experience 25 Days more »

of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more. You’ll need to come from a strong academic background with some commercial experience in a data heavy software more »

My client are looking for a talented and motivated Big Data Architect (Azure, Databricks, Spark) to be based in their London office. You'll be responsible for providing technical leadership in architecting and designing end-to-end solutions for the organisation's datalake initiatives, as they provide increasing numbers … improvements in design, processes, and implementation to improve operational management, scalability, and extensibility. The following skills/experience is essential: Strong implementation experience using Spark and Databricks Strong Cloud experience (ideally Azure) Previously heavily involved in an implementation programme Data Warehouse Strong stakeholder management experience Excellent IT background, ideally more »

leading business intelligence platform (e.g. Microsoft, Crystal, Qlik, SAP, Tableau). Good understanding of open source, big data, and cloud data platforms (e.g. Hadoop, Spark, Hive, Pentaho, AWS, Azure); given a business problem, you can analyse and evaluate options and recommend solutions. Proven experience in designing, building and maintaining more »

Azure Synapse Analytics. Strong SQL and Python skills. Experience with data modeling, ETL processes, and data warehousing. Knowledge of big data technologies such as Spark and Hadoop is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Experience in the healthcare sector is more »

complex issues they are facing. out data-driven analysis, craft solutions to resolve business problems. Artificial Intelligence and data science approaches (Python, R, Matlab, Spark etc). database technologies such as Hadoop. tools that expand the companies tool kit, advancing their ability to serve clients. Experience needed Strong consulting more »

ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and other platforms for large-scale data processing. Real-Time Data Streaming: Develop and manage pipelines using CDC, Kafka, and Apache Spark. Database more »

to 10% What Will Help You On The Job Familiarity with running software services at scale AWS Infrastructure, Airflow, Kafka and data streaming using Spark/Scala Understanding of networking fundamentals (OSI layers 2-7) Technical and software engineering background in the areas of cloud computing, enterprise computing, serversand more »

machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.) Experience using Python, R or Spark to extract insights from data Knowledge of SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge more important) Experience using the more »

quality of data. Key Requirements: Strong experience designing data pipelines/warehouses using AWS and Snowflake. Exposure to big data technologies such as Kafka, Spark, or Hadoop. Solid experience with Snowflake, including performance optimisation and cost management. Strong experience with SQL and Data modelling. Excellent understanding of AWS architecture more »

Service, tackling the ML Ops loop as a service, interesting challenge. They are going to enable edge AI, another pioneering aspect. Tech stack: Athena, Spark, ECS, Temporal, Python, Flask, Redis, Postgres, React, Plotly, Docker more »

Location: Milton Keynes Key responsibilities: experience as an Kafka Developer (Ideally Kafka Streams). on experience in Big data technologies (Hadoop, Hue, Hive, Impala,Spark,.) and stronger within Kafka. and experience using Key value data bases . Experience developing microservices using Spring. and develop cloud-based data engineering … for different applications ,usually 24/7 applications with a big performance requirement . Key skills/knowledge/experience: Data Hadoop - Hive and Spark/Scala solid experience advance knowledge - Been able to test changes and issues properly, replicating the code functionality into SQL with Code Repositories as more »

Engineer, with expertise developing scalable data pipelines. Strong object oriented programming skills, particularly in Python . Experience with data lakes and data warehousing solutions ( Spark, Dataflow, BigQuery ). Knowledge of SQL and experience with relational databases, as well as NoSQL databases Familiarity with cloud services (preferably GCP ) and understanding more »