1 to 25 of 129 Apache Spark Jobs in England

and practical troubleshooting skills. Tools Platforms & Tools : Cloud Computing platforms (ADLS Gen2), Microsoft Stack (Synapse, DataBricks, Fabric, Profisee), Snowflake Data Integration, Azure Service Bus, Apache Airflow, Apache Iceberg, Apache Spark, Apache Hudi, Apache Kafka, Power BI, BigQuery, DeltaLake, Azure DevOps, Azure Monitor, Azure Data … Server, Azure DataLake Storage, Azure App Service, Azure ML is a plus. Languages : Python, SQL, T-SQL, SSIS, and high-level programming knowledge on Spark is a plus. DB: Azure SQL Database, Cosmos DB, NoSQL, MongoDB, and HBase are a plus Methodologies: Agile and DevOps must have Concepts: ELT …/ETL, DWH, APIs (RESTful), Spark APIs, FTP protocols, SSL, SFTP, PKI (Public Key Infrastructure) and Integration testing more »

Spark Architect/SME Contract Role- 6 months to begin with & its extendable Location: Sheffield, UK (min 3 days onsite) Context: Legacy ETL code for example DataStage is being refactored into PySpark using Prophecy low-code no-code and available converters. Converted code is causing failures/performance issues. … Skills: Spark Architecture – component understanding around Spark Data Integration (PySpark, scripting, variable setting etc.), Spark SQL, Spark Explain plans. Spark SME – Be able to analyse Spark code failures through Spark Plans and make correcting recommendations. Spark SME – Be able to review PySpark … and Spark SQL jobs and make performance improvement recommendations. Spark – SME Be able to understand Data Frames/Resilient Distributed Data Sets and understand any memory related problems and make corrective recommendations. Monitoring – Be able to monitor Spark jobs using wider tools such as Grafana to see more »

Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, Azure Stream Analytics, etc. Strong Python or Scala with Spark, PySpark experience Experience with relational databases and NoSQL databases Significant experience and in-depth knowledge of creating data pipelines and associated design principles, standards … Ability to design and implement data warehousing solutions using Azure Synapse Analytics. Azure Databricks: Proficiency in using Azure Databricks for data processing and analytics. Apache Spark: Deep understanding of Apache Spark for large-scale data processing. Azure Blob Storage and Azure Data Lake Storage: Expertise in more »

Certified Solutions Architect, AWS Certified Data Analytics Specialty, or AWS Certified Big Data Specialty. Experience with other big data and streaming technologies such as Apache Spark, Apache Flink, or Apache Beam. Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. Experience with data lakes more »

CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with more »

CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with more »

workplace where each employee's privacy and personal dignity is respected and protected from offensive or threatening behaviour including violence and sexual harassment Role: Apache Spark Application Developer Skills Required: Hands on Experience as a software engineer in a globally distributed team working with Scala, Java programming language … preferably both) Experience with big-data technologies Spark/Databricks and Hadoop/ADLS is a must Experience in any one of the cloud platform Azure (Preferred), AWS or Google Experience building data lakes and data pipelines in cloud using Azure and Databricks or similar tools. Spark Developer more »

working closely with our product teams on existing projects and new innovations to support company growth and profitability. Our Tech Stack Python Scala Kotlin Spark Google PubSub Elasticsearch, Bigquery, PostgresQL Kubernetes, Docker, Airflow Key Responsibilities Designing and implementing scalable data pipelines using tools such as Apache Spark … Data Infrastructure projects, as well as designing and building data intensive applications and services. Experience with data processing and distributed computing frameworks such as Apache Spark Expert knowledge in one or more of the following languages - Python, Scala, Java, Kotlin Deep knowledge of data modelling, data access, and 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 … team has strong appetite to embrace latest tech stacks offered in the industry. We need passionate software engineers who use Java, JavaScript, Python, React, Apache Spark and open-source data science toolkits to build solutions that offer best in class experience to our risk managers and analysts. Our … WHAT DO WE PREFER YOU HAVE? Strong programming experience in at least one language Comfortable with working with multiple languages Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) Experience with continuous delivery and deployment Proficient at working with large more »

data pipelines using tools such as Airflow, Jenkins and GitHub actions. · Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala · Help the business harness the power of data within easyJet, supporting them with insight, analytics and data … system. · Significant experience with Python, and experience with modern software development and release engineering practices (e.g. TDD, CI/CD). · Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Arrow, MapR). · Significant experience with SQL – comfortable writing efficient SQL. · Experience using … enterprise scheduling tools (e.g. Apache Airflow, Spring DataFlow, Control-M) · Experience with Linux and containerisation What you’ll get in return ·Competitive base salary ·Up to 20% bonus ·25 days holiday ·BAYE, SAYE & Performance share schemes ·7% pension ·Life Insurance ·Work Away Scheme ·Flexible benefits package ·Excellent staff travel more »

performance, reliability, and security. - Implement event-driven architectures using Kafka for real-time data processing and communication between microservices. - Utilize Big Data technologies (e.g., Apache Spark, Hadoop) to process and analyze large volumes of data, extracting valuable insights to drive decision-making. - Design and optimize data pipelines for … principles and best practices. - Experience with Kafka for building event-driven architectures and real-time data processing. - Familiarity with Big Data technologies such as Apache Spark, Hadoop, or similar frameworks. - Proven track record of delivering scalable and reliable software solutions in a fast-paced environment. - Excellent communication skills more »

of the company's data infrastructure. You will work with some of the most innovative tools in the market including Snowflake, AWS (Glue, S3), Apache Spark, Apache Airflow and DBT!! The role is hybrid, with 2 days in the office in central London and the company is more »

Data Engineer 6 Month Contract Inside IR35 £450/day Hiring Immediately Job Description (Apache Iceberg, Spark, Big Data) Job Details Overview: Overall IT experience of 5+ years of total experience with strong programming skills Excellent skill in Apache Iceberg, Spark, Big Data 3+ years of … Big Data project development experience Hands on experience in working areas like Apache Iceberg & Spark, Hadoop, Hive Must have knowledge in any Database Ex: Postgres, Oracle, MongoDB Excellent in SDLC Processes and DevOps knowledge (Jira, Jenkins pipeline) Working in Agile POD and with team collaboration Ability to participate more »

development (ideally AWS) and container technologies Strong communication and interpersonal skills Experience managing projects and working with external third party teams Ideally experience with Apache Spark or Apache Flink (but not essential) Please note, this role is unable to provide sponsorship. If this role sounds of interest more »

IaC), automation & configuration management; Ansible (plus Puppet, Saltstack), Terraform, CloudFormation; NodeJS, REACT/MaterialUI (plus Angular), Python, JavaScript; Big data processing and analysis, e.g. Apache Hadoop (CDH), Apache Spark; RedHat Enterprise Linux, CentOS, Debian or Ubuntu. Java 8, Spring framework (preferably Spring boot), AMQP RabbitMQ, Open source more »

Strong knowledge of SQL and experience with data analysis tools such as Excel, Tableau, and Power BI. Experience with data processing technologies such as Apache Spark and Apache Flink. Knowledge of statistical analysis techniques and experience with programming languages such as Python, R, and SAS. Strong problem more »

the UK). Role Overview: In this vital role, you will develop and maintain enterprise-grade software systems leveraging your expertise in Databricks, Python, Spark, R, and SQL. You will collaborate closely with our architecture team to design scalable, clean solutions that support continuous delivery and improvement. Your contributions more »

automation. The Role As a Data Engineer with us, you will: Design, develop and maintain scalable and efficient data pipelines and ETL processes using Spark, ensuring high-quality data processing and integration. Collaborate with cross-functional teams to translate complex data requirements into actionable technical solutions. Utilize Microsoft Azure … highest standards in database design and operations. The Person We're looking for someone who is: Experienced as a Data Engineer, demonstrating proficiency in Apache Spark and cloud-based technologies, especially Microsoft Azure and Databricks. Skilled in programming, particularly Python, and familiar with data integration tools and ETL more »

and dealing with ad-hoc requests About You We’re looking for an experienced Data Engineer with excellent knowledge of Snowflake, AWS, Python, and Apache Airflow who is ready to lead by example and is used to rolling up their sleeves to get things done. The successful candidate must … 3NF and dimensional modelling, Kimball, DV 2.0 etc.) Strong experience in building robust and scalable ELT/ETL data pipelines Proficient coding in - python, Apache Spark and expert knowledge of SQL and good experience with shell-scripting languages Working knowledge of orchestration tools, e.g. Apache Airflow Experience … or consumer finance IaaC such as Terraform or AWS CloudFormation Knowledge of visualization tools, e.g. Tableau, Looker, Power BI, AWS QuickSight Exposure to streaming: Apache Kafka, AWS MSK Docker Understanding of SCRUM and Agile principles and collaboration tools like JIRA software and Confluence. What's in it for you more »

and product development, encompassing experience in both stream and batch processing. · Designing and deploying production data pipelines, utilizing languages such as Java, Python, Scala, Spark, and SQL. In addition, you should have proficiency or familiarity with: · Scripting and data extraction via APIs, along with composing SQL queries. · Integrating data more »

field (STEM) Technical proficiency in cloud-based data solutions (AWS, Azure or GCP), engineering languages including Python, SQL, Java, and pipeline management tools e.g., Apache Airflow. Familiarity with big data technologies, Hadoop, or Spark. If this opportunity is of interest, or you know anyone who would be interested in more »

requires candidates to go through SC Clearance, so you must be eligible. Experience of AWS tools (e.g Athena, Redshift, Glue, EMR) Java, Scala, Python, Spark, SQL Experience of developing enterprise grade ETL/ELT data pipelines. NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore. Snowflake Data more »

emphasis on Pyspark and Databricks for this particular role. Technical Skills Required: Azure (ADF, Functions, Blob Storage, Data Lake Storage, Azure Data Bricks) Databricks Spark Delta Lake SQL Python PySpark ADLS Day To Day Responsibilities: Extensive experience in designing, developing, and managing end-to-end data pipelines, ETL (Extract more »

NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark or Hadoop a plus). Power BI, Dashboard design/development. Regulatory Awareness/Compliance Uphold Regulatory/Compliance requirements relevant to your role more »

Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data warehouse solutions utilising technologies more »