251 to 275 of 501 Apache Spark Jobs in the UK

scale project management experience 5+ years of continuous integration and continuous delivery (CI/CD) experience 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience 5+ years of software development with object oriented language experience 3+ years of cloud based solution (AWS or equivalent), system, network More ❯

including OAuth, JWT, and data encryption. Fluent in English with strong communication and collaboration skills. Preferred Qualifications Experience with big data processing frameworks like Apache Flink or Spark. Familiarity with machine learning models and AI-driven analytics. Understanding of front-end and mobile app interactions with backend services. Expertise More ❯

with Linux and cloud environments. Data Visualisation Technologies (e.g. Amazon QuickSight, Tableau, Looker, QlikSense). Desirable experience: Familiarity with large data techniques (Hadoop, MapReduce, Spark, etc.) Familiarity with providing data via a microservice API. Experience with other public cloud data lakes. AWS Certifications (particularly Solution Architect Associate and Big More ❯

one or more of the following would also be beneficial: Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a plus. A team player - we highly regard collaboration. Knowledge or More ❯

one or more of the following would also be beneficial : Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a plus A team player - we highly regard collaboration. Knowledge or More ❯

skills Experience working with real-world data sets and building scalable models from big data Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow Experience with large scale distributed systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯

problems. Experience with cloud technologies (AWS or GCP), via hands-on work or certification. Practical experience with data lake or data warehouse technologies (e.g., Spark, ETL, Databricks). Preferred Qualifications, Capabilities, and Skills Experience with metadata processes and technology, along with a background in data management and data quality. More ❯

this role, both written & spoken Preferred (but not required) to have: Hands-on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand More ❯

s degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark and SQL Experience implementing and validating a range of machine learning and optimization techniques Effective scientific communication for varied audiences Autonomy and ownership of More ❯

a Software Engineer focussing on Python for our Software Team. Our Tech Stack: Python, FastAPI, Redis, Postgres, React, Plotly, Docker, Athena SQL, Athena & EMR Spark, ECS, Temporal, AWS, Azure. What you can expect as a Software Engineer at Monolith AI: As a Senior/Lead Software Engineer at Monolith More ❯

scale project management experience 5+ years of continuous integration and continuous delivery (CI/CD) experience 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience 5+ years of consulting, design and implementation of serverless distributed solutions experience 3+ years of cloud based solution (AWS or equivalent 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). Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

using machine learning, deep learning, data mining, and statistical algorithms. Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory. Strong analytical thinking. Ability to creatively solve business problems, innovating new approaches where required and articulating ideas More ❯

cohesive data repositories to support data-driven decision-making. Ingest data from a variety of sources, including on-premise SQL databases, REST APIs, and Apache Kafka streams. Apply data cleansing rules to ensure data meets quality and consistency standards. Model data appropriately for usage scenarios, including designing single-source … Code (IaC) experience, e.g., Terraform, ARM templates, Bicep Familiarity with test-driven development (TDD) methodologies Experience with streaming technologies, e.g., Azure Stream Analytics or Spark Structured Streaming Power BI engineering or integration experience Certified Scrum Developer (CSD) or similar Agile certification Experience with data governance tools, such as Microsoft More ❯

cohesive data repositories to support data-driven decision-making. Ingest data from a variety of sources, including on-premise SQL databases, REST APIs, and Apache Kafka streams. Apply data cleansing rules to ensure data meets quality and consistency standards. Model data appropriately for usage scenarios, including designing single-source … Code (IaC) experience, e.g., Terraform, ARM templates, Bicep Familiarity with test-driven development (TDD) methodologies Experience with streaming technologies, e.g., Azure Stream Analytics or Spark Structured Streaming Power BI engineering or integration experience Certified Scrum Developer (CSD) or similar Agile certification Experience with data governance tools, such as Microsoft More ❯

Data Streaming , Unity Catalogue etc.). Prove experience designing high volume, live data streaming solutions using Azure DLT (Delta Live Tables). Expert with Apache Spark and PySpark (ability to review quality of code and debug issues). Experience with Qlik Replicate to move data from on-prem More ❯

that meet the evolving needs of the business. Utilise your strong background in data engineering, combined with your existing experience using SQL, Python and Apache Spark in production environments. The role will entail strong problem-solving skills, attention to detail, and the ability to work independently while collaborating More ❯

data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of More ❯

data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of More ❯

data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive More ❯

experience deploying ML models into production environments, including both batch and real-time/streaming contexts Proficiency working with distributed computing frameworks such as Apache Spark , Dask, or similar Experience with cloud-native ML deployment , particularly on AWS , using services like ECS, EKS, Fargate, Lambda, S3, and more More ❯

create sustainable and resilient solutions. Your experience: Bachelor's degree in Computer Science or relevant certification. Expert level experience in Java and preferably in Spark and Python. Well versed in Cloud architecture and have delivered to one or more; Azure (preferred). Demonstrate hands-on engineering in large scale More ❯

and RDBMS. Eligible for SC clearance (public sector experience is a strong plus). Nice-to-Have: Experience with big data tools (e.g. Hadoop, Spark, MapReduce). Exposure to microservices for data delivery and streaming architectures. AWS certifications (e.g. Solutions Architect, Big Data). Knowledge of data visualization tools More ❯

MMM. Expertise in regression modeling, statistical and ML techniques . Experience with probabilistic programming, Bayesian methods, and MCMC. Proficient in SQL and/or Spark for large-scale data mining. Solid understanding of statistical foundations and mathematical modelling. Familiarity with cloud-based frameworks; Azure preferred. Advanced degree (MS/ More ❯

MMM. Expertise in regression modeling, statistical and ML techniques . Experience with probabilistic programming, Bayesian methods, and MCMC. Proficient in SQL and/or Spark for large-scale data mining. Solid understanding of statistical foundations and mathematical modelling. Familiarity with cloud-based frameworks; Azure preferred. Advanced degree (MS/ More ❯