226 to 250 of 472 Apache Spark Jobs in England

a similar Data Engineering role before sharing their details with us. Keywords for Search: When reviewing CVs, please look for relevant technologies such as: Spark, Hadoop, Big Data, Scala, Spark-Scala, Data Engineer, ETL, AWS (S3, EMR, Glue ETL) . Interview Process: the client will conduct an interview 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 ❯

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 ❯

Python. Develop real-time streaming features using big data tools such as Spark. SKILLS AND EXPERIENCE Extensive experience using big data tools such as Apache Spark. Experience working in and maintaining an AWS database. Strong Python coding background. Good knowledge of working with SQL. THE BENEFITS Generous Holiday plan. More ❯

is at the heart of this business, and you can expect to work with a cutting-edge range of technologies, including big data tools (Spark, Hadoop) and cloud platforms (Microsoft Azure, AWS). If you are eager to grow in these areas, comprehensive, top-tier training will be provided. More ❯

contribute to architectural decisions. What We’re Looking For: Strong Python programming skills (5+ years preferred). Deep experience with distributed systems (e.g., Kafka, Spark, Ray, Kubernetes). Hands-on work with big data technologies and architectures. Solid understanding of concurrency, fault tolerance, and data consistency. Comfortable in a More ❯

contribute to architectural decisions. What We’re Looking For: Strong Python programming skills (5+ years preferred). Deep experience with distributed systems (e.g., Kafka, Spark, Ray, Kubernetes). Hands-on work with big data technologies and architectures. Solid understanding of concurrency, fault tolerance, and data consistency. Comfortable in a More ❯

datasets, data wrangling, and data preprocessing. Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Preferred Skills: MSc or PhD in Computer Science, Artificial Intelligence, or related field. ADDITIONAL NOTES: Ability More ❯

learning algorithms and general statistical methodologies and theory. Basic 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 ❯

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 ❯

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 ❯

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 ❯

Excel, Quicksight, Power BI) Data analysis and statistics KPI design PREFERRED QUALIFICATIONS Power BI and Power Pivot in Excel AWS fundamentals (IAM, S3, ) Python Apache Spark/Scala Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need 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 ❯