26 to 50 of 72 Permanent Apache Spark Jobs in London

or Rust. Experience in building and enhancing compute, storage, and data platforms with exposure to open source products like Kubernetes, Knative, Ceph, Rook, Cassandra, Spark, Nate etc. Hands-on exp. with IaC tools and automation, such as Terraform, Ansible, or Helm. Active engagement or contributions to the open-source more »

engineers of varying levels of experience. Flexibility and willingness to adapt to new software and techniques. Nice to Have Experience working with projects in Apache Spark, Databricks of similar. Expert cloud platform knowledge, e.g. Azure What will be your key responsibilities? A technical expert and leader on the 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 »

complex issues they are facing. out data-driven analysis, craft solutions to resolve business problems. Artificial Intelligence and data science approaches (Python, R, Matlab, Spark etc). database technologies such as Hadoop. tools that expand the companies tool kit, advancing their ability to serve clients. Experience needed in a more »

succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in … technology consulting environment • Current or previous consulting experience highly desirable • Experience of working with companies in the finance sector highly desirable • Platform implementation experience (Apache Hadoop - Kafka - Storm and Spark, Elasticsearch and others) • Experience around data integration & migration, data governance, data mining, data visualisation, database modelling in an more »

succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in … to 10 years' IT Architecture experience working in a software development, technical project management, digital delivery, or technology consulting environment • Platform implementation experience (Apache Hadoop - Kafka - Storm and Spark, Elasticsearch and others) • Experience around data integration & migration, data governance, data mining, data visualisation, database modelling in an agile more »

Lead Data Engineer (Director) - Individual contributor - Azure, Data Factory, Databricks, Apache Spark - London Based I am hiring for a Lead Data Engineer for a crucial role within one of my Investment Bank clients in London. This role is at Director level as they require a very senior candidate … Leading data engineering practices Support current applications Introduce AI practices to the team/project Communicate key successes with stakeholders Key Skills: Azure Databricks Apache Spark Datascience, AI, ML Certifications or continued upskilling/contribution to blog posts within Data & AI beneficial but not essential. This is a … without sponsorship, if you are interested please apply or email me directly - aaron.dhammi@nicollcurtin.com Lead Data Engineer (Director) - Individual contributor - Azure, Data Factory, Databricks, Apache Spark - London Based more »

are looking for a skilled DevSecOps Engineer to join our team. The ideal candidate will have strong knowledge in operational procedures, data transformation using Apache Spark, AWS RDS (MySQL), and working with Hadoop. Familiarity with Tableau and Red Hat Decision Center is also required. Security clearance (SC) is … mandatory. Requirements: Experience in a DevSecOps role. Strong operational procedures knowledge. Proficient in Apache Spark, AWS RDS (MySQL), and Hadoop. Knowledge of Tableau and Red Hat Decision Central Key Responsibilities: Manage operational procedures. Transform and process data using Apache Spark. Administer AWS RDS with MySQL. Work with more »

development (ideally AWS) Knowledge and ideally hands-on experience with data streaming, event-based architectures and Kafka Strong communication and interpersonal skills Experience with Apache Spark or Apache Flink would be ideal, but not essential Please note, this role is unable to provide sponsorship. If this role more »

run on AWS and soon Azure, with plans to also add GCP and on-prem. They are adding extensive usage of distributed compute on Spark, starting with their more complex ETL and advanced analytics functions, e.g. Time Series Processing. They soon plan to integrate other approaches, including native distributed … PyTorch/Tensorflow, Spark-based distributor libraries, or Horovod. TECH STACK: Python, Flask, Redis, Postgres, React, Plotly, Docker. Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate; Azure Synapse/Data Lake Analytics, HDInsight. KEY RESPONSIBILITIES Lead the productionisation of Monolith’s ML models and data processing pipelines … both mid-low-level system and design and exemplary hands-on implementations using Spark and other tech stacks Shape the ML engineering culture and practices around model & data versioning, scalability, model benchmarking, ML-specific branching & release strategy Concisely break down complex high-level ML requirements into smaller deliverables (epic more »

a production setting. Knowledge of developing real-time data stream systems (ideally Kafka). Proven track record in developing data systems using PySpark and Apache Spark for batch processing. Capable of managing data intake from various sources, including data streams, unstructured data, relational databases, and NoSQL databases. Extensive … Additional Responsibilities Build tools to produce data products and automate the self-serve platform. Create dependable and highly scalable data assets using Python, Scala, Spark/PySpark. Manage both fresh and current data sources into our pipelines for ELT and reverse ETL. Create a data strategy that uses appropriate more »

Databricks • Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). • In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis more »

data access, and data storage techniques. Excellent problem-solving skills and the ability to think algorithmically. Desirable Skills: Knowledge of big data technologies (Hadoop, Spark, Kafka) is highly desirable. Familiarity with data governance and compliance requirements. more »

etc). Experience with SQL and query design on large, complex datasets. Experience with cloud and big-data tools and frameworks like Databricks/Spark, Airflow, Snowflake, etc. Expertise designing and developing with distributed data processing platforms like Databricks/Spark. Experience using ELT/ETL tools such as more »

engineers of varying levels of experience. Flexibility and willingness to adapt to new software and techniques. Nice to Have Experience working with projects in Apache Spark, Databricks of similar. Expert cloud platform knowledge, e.g. Azure What will be your key responsibilities? A technical expert and leader on the more »

design and coding skills (e.g. Python, Scala, JavaScript). Experience with Microsoft or AWS data stack e.g. Microsoft Azure Data Lake, Hadoop (preferably with Spark), Cosmos DB, HDInsight/HBase, MongoDB, Redis, Azure Table/Blob stores etc. Exposure to tools like SAP technologies and Alteryx always useful. Experience more »

an Azure Solution Architect in Microsoft Data and AI. Extensive, hands-on, current experience in Azure data and AI technologies, like Fabric, Synapse, Databricks, Spark, Python, GitHub, Data Factory, Azure Data Lake, Power BI, Cognitive Services, Purview, etc. Strong data analysis and modeling skills. High-level understanding of Azure 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 »

multiple tasks and projects simultaneously. Preferred Qualifications AWS Certified Solutions Architect or other relevant AWS certifications. Experience with big data technologies such as Hadoop, Spark, or similar. Knowledge of data governance and data quality best practices. Familiarity with machine learning and AI concepts and tools. more »

master and meta data management Experience with Azure SQL Database, Azure Data Factory, Azure Storage, Azure IaaS/PaaS related database implementations. Experience with Apache spark and new Fabric framework would be a plus. more »

DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A keen interest in problem-solving and using scalable machine learning to solve the more »

DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A keen interest in problem-solving and using scalable machine learning to solve the more »

and implement pre-processing pipelines for large data, create visualisation and reports for model performance, whilst collaborating with various engineers to improve knowledge and spark innovation. As the Machine Learning Engineer you will ideally have a degree in a relevant industry; Computer Science, Maths, AI, or similar, at least more »

DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A keen interest in problem-solving and using scalable machine learning to solve the more »

ingestion pipelines. Requirements: Proven experience working with Python or Java or C# Experience working with ELT/ELT technologies such as Airflow, Argo, Dagster, Spark, Hive Strong technical expertise, especially in data processing and exploration, with a willingness to learn new technologies. A passion for automation and driving continual more »