51 to 75 of 140 Apache Spark Jobs in England

APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. Senior ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. This is a fantastic opportunity to join more »

tools such as Informatica MDM, Informatica AXON, Informatica EDC, and Collibra • MySQL, SQL Server, Oracle, Snowflake, PostgreSQL and NoSQL databases • Programming languages such as Spark or Python • Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop Benefits : • Base Salary 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 »

pipeline and workflow management and their tools such as Airflow. Strong understanding of relational SQL and NoSQL databases, including MongoDB and stream-processing systems: Spark-Streaming, Kinesis etc. Ability to understand any scripting language and tools. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and more »

that incorporate various data backends, query languages and ORM frameworks. Experience designing and building ETL pipelines built around libraries and frameworks like Pandas and Apache Spark. Strong API design skills and a familiarity with building web applications. A proponent of great testing, first-class observability and automating everything. Familiarity more »

and coding environments. Bonus Skills: Python/PHP/Typescript/ReactJS AI/ML models and usage ETL pipelines in AWS (Glue/Apache Spark) API Load testing If you would like more information on the role or like to apply for then please send your CV more »

Data Analytics in Azure Synapse Analytics, Azure Analysis Services Data Ingestion and Storage including Azure Data Factory, Azure Databricks, Azure Data Lake, Kafka and Spark Streaming, Azure EventHub/IoT Hub, and Azure Stream Analytics Experience with Object-oriented/object function scripting languages: Python preferred more »

working in an Azure environment with a focus on Azure Data Lake, Databricks, Azure Data Factory and Power BI architectures. Working with Python, SQL, Spark and Databricks, you will build, rebuild and maintain data pipelines as well as have the opportunity to work with CI/CD pipelines, Azure more »

Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud – AWS, Google Cloud, Azure, and a knowledge of secure coding techniques – PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles more »

Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles more »

Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud – AWS, Google Cloud, Azure, and a knowledge of secure coding techniques – PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles more »

mining, data analysis, and strong software engineering skills. Strong understanding of Data Engineering Proficiency in AWS, data warehousing (Snowflake, Databricks, Redshift), big data frameworks (Spark, Kafka), container orchestration platforms (Kubernetes), and data integration/ETL tools. Strong written and verbal communication skills, with the ability to explain technical concepts 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 »

artwork. Proven familiarity with NLP approaches like Word2Vec or BERT, including identifying the right KPIs and objective functions. Experience working with big data systems (Spark, EMR, Kafka, S3, Airflow) and programming languages (Java, Scala, or Python). Experience building in-production Machine Learning systems Good understanding of system architecture more »

RDBMS environments: Sybase ASE/IQ, Oracle or DB2 It would be great if you have: Experience in Cluster Computing and Big Data solutions: Spark, Hadoop, HDSF, XRS using public cloud Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified™ by Great Place To Work more »

solutions Proficiency in data pipeline orchestration across hybrid environments, leveraging the latest in Azure and allied technologies. Expertise in data processing with tools like Spark or Dask, and fluency in Python, Scala, C#, or Java. Expertise in DevOps and CI/CD automation , ensuring seamless deployment with tools like more »

of AWS services with the ability to demonstrate working on large engagements * Experience of AWS tools (e.g. Athena, Redshift, Glue, EMR) * Java, Scala, Python, Spark, SQL * Experience of developing enterprise grade ETL/ELT data pipelines. * Deep understanding of data manipulation/wrangling techniques * Demonstrable knowledge of applying Data … DB/Neo4j/Elastic, Google Cloud Datastore. * Snowflake Data Warehouse/Platform * Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. * Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc * Experience building and deploying solutions to Cloud more »

cross-functionally across the business to understand the requirements of the products Designing and implementing performance related data ingestion pipelines from multiple sources using Apache Spark Integrating end-to-end data pipelines ensuring a high level of quality is maintained Working with an Agile delivery/DevOps methodology more »

management and data governance open source platform that we will teach you. Other technologies in use in our space: RESTful services, Maven/Gradle, Apache Spark, BigData, HTML 5, AngularJs/ReactJs, IntelliJ, Gitlab, Jira. Cloud Technologies: You’ll be involved in building the next generation of finance more »

Jenkins, Bamboo, Concourse etc. Monitoring utilising products such as: Prometheus, Grafana, ELK, filebeat etc. Observability - SRE Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem Edge technologies eg NGINX, HAProxy etc. Excellent knowledge of YAML or similar languages Desirable Requirements: Jupyter Hub Awareness more »

and classification techniques, and algorithms Fluency in a programming language (Python, C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »

classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »

classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »

working in the world of Data Science You're more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well more »

working in the world of Data Science You're more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well more »