1 to 25 of 116 Permanent Apache Spark Jobs in England

data products like Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server. Knowledge in developing in Databricks and experience in coding with PySpark, Spark SQL. Experience in design and development of complex data and analytics solutions in an iterative manner for large enterprise business/data warehouse implementations more »

to join Ordnance Survey's Data Derivation team in developing our next generation geospatial data. Using big data technologies (primarily Databricks, an implementation of Apache Spark) you will develop, support, and maintain automated processes that enrich and transform Ordnance Survey's large-scale data. Working in a forward more »

You love people. Nothing excites you more than spotting that one thing in a person others may have missed, that one spark or twinkle that peaks your interest during an interview. Then watching that same person progress up the career ladder you implemented, using the techniques you taught them more »

Job Description: Job Title: Spark Architect Location: Sheffield, UK (3 days/week, onsite) Job Type: 6+ month and possibility of extension Looking for an enthusiastic Spark Architect with deep component understanding around Spark Data Integration (PySpark, Scripting, variable setting etc.), Spark SQL, Spark Explain … plans. Also able to analyse Spark code failures through Spark Plans and make correcting recommendations; able to review PySpark and Spark SQL jobs and make performance improvement recommendations; able to understand Data Frames/Resilient Distributed Data Sets and understand any memory related problems and make corrective … recommendations; and able to monitor Spark jobs using wider tools such as Grafana to see whether there are Cluster level failures. As a Spark architect, who can demonstrate deep knowledge of how Cloudera Spark is set up and how the run time libraries are used by PySpark more »

such as Data Factory, Event Hubs, Data Lake, Synapse, and Azure SQL Server. Create and optimize data processing workflows in Databricks using PySpark and Spark SQL. Ensure ETL coding standards are met, including self-documenting code and reliable testing. Apply best practice data encryption techniques and standards to ensure more »

design. Cloud data products such as: Data factory Events Hubs Data Lake Synapse Azure SQL Server Experience developing Databricks and coding with PySpark and Spark SQL. Proficient in ETL coding standards Data encryption techniques and standards Knowledge of relevant legislation such as: Data Protection Act, EU Procurement Directives, Freedom 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 »

Azure or AWS experience Data access methods (SQL, GraphQL, APIs) Beneficial Requirements Experience around data science tools and algorithms Manipulation technologies (e.g., WebSockets, Kafka, Spark) TensorFlow, Pandas, pySpark and scikit-learn would be great Salary up to £75K + 20% bonus and benefits package We have interview slots lined 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 »

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 »

and Data Mart. Utilize Vector Databases, Cosmos DB, Redis, and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI … Azure Cloud environments, Azure Data Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS more »

Energy & Utilities, Financial Services, Government & Public Services, Healthcare, Life Sciences, and Transport. Essential Skills & Experience: • Design and deploy data pipelines using Java, Python, Scala, Spark, and SQL in big data architecture. • Execute tasks involving scripting, API data extraction, and SQL queries. • Proficient in data cleaning, wrangling, visualization, and reporting. more »

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 »

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 »

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 »

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 »

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 »

value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos for deployment in hybrid cloud environments (GCP, Azure) Connect and blend data from 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 »

or hedge fund industry. Technical Skills: Proficiency in Python and SQL. Experience with relational and NoSQL databases. Knowledge of big data frameworks (e.g., Hadoop, Spark, Kafka). Understanding of financial markets and trading systems. Strong analytical, problem-solving, and communication skills. Familiarity with DevOps tools and practices. This is more »

management. Cloud Platform : AWS for cloud infrastructure. Programming Languages : JavaScript for front-end development and Java for back-end processes. Big Data Technologies : Hadoop, Spark, or Kafka for handling large-scale data processing. What We Need from You Essential Skills: Technical Proficiency : Expertise in React.js, front-end technologies (JavaScript 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 »

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 »

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 »

Learn, TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing (e.g., Spark, Hadoop) is a plus. Proficient in SQL and experience with relational databases. Strong analytical and problem-solving skills, with a keen attention to detail. more »