1 to 25 of 32 Remote/Hybrid Hadoop Jobs in the UK

Programming-related field Experience influencing technical decisions and supporting capability growth. Experience with CI/CD practices Experience with big data tools e.g. Spark, Hadoop, NiFi Exposure to infrastructure scaling e.g. Kubernetes Exposure to Ansible and Terraform Understanding of ML algorithms and deployment Experience with SQL Server high-availability ...

experience in their technologies You have experience in database technologies including writing complex queries against their (relational and non-relational) data stores (e.g. Postgres, Hadoop, Elasticsearch, Graph databases), and designing the database schemas to support those queries You have a good understanding of coding best practices and design patterns ...

NoSQL)* Experience with cloud technologies* Experience with cloud platforms* Experience with CI/CD practices* Experience with big data tools e.g. Spark, Hadoop, NiFi* Experience managing direct reports, providing regular guidance and performance feedback* Ability to create delivery plans with estimated timelines for personal and team workloads* Experience supporting ...

NoSQL) Experience with cloud technologies Experience with cloud platforms Experience with CI/CD practices Experience with big data tools e.g. Spark, Hadoop, NiFi Experience managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team workloads Experience supporting ...

knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks ...

phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern data warehouse capabilities and technologies such ...

phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern data warehouse capabilities and technologies such ...

phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern data warehouse capabilities and technologies such ...

Experience with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Azure Data Lake Storage). Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus. Knowledge of data governance and data security best practices. Strong problem-solving skills and attention to detail. Excellent communication ...

Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus. Domain Knowledge: Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations. In-depth knowledge ...

infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different ...

such as Pulsar, Kafka, RedPanda. Must have knowledge and experience automatically provisioning and supporting multiple big data technologies; such as MongoDB, DataBricks, Big Query, Hadoop, Spark, Trino, DataLakes/Lakehouse Architectures. Infrastructure management with Terraform Experience with Github or any other source control Knowledge of Scripting/Coding languages ...

production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, and model governance. Excellent communication and stakeholder management skills with the ability ...

Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Birmingham ...

Services: SOAP and Rest IT networking CI/CD The Atlassian Suite (JIRA, Confluence, Bitbucket, Bamboo) Azure Services Machine learning algorithms Big Data (Hadoop, Azure Data Lake, S3, Apache Spark) Additional programming languages – Python, Scala, Typescript, CSS 3/SASS (or other pre-processors) Other Information The successful candidate ...

Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on services Experience working with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL) Familiarity with anomaly detection, supervised and unsupervised learning methods, and real-time data analysis Experience with statistical analysis and good presentation skills ...

detail. Strong partner management and ability to influence across teams and organisations. Continuous learning and improvement mentality. Desired Experience with big data technologies (e.g. Hadoop, Hive, Spark). Experience with generative AI, LLMs, or retrieval‐augmented generation (RAG). Exposure to Agentic AI concepts, including autonomous agents, tool ...

about you: Strong Python knowledge. Ability to read through code. Demonstrable experience collaborating with engineers. Experience with big data technologies such as Hadoop, Spark, or similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas ...

observability platforms, including distributed tracing, logging, metrics, and tools such as Prometheus, Grafana, ELK, or OpenTelemetry. Experience with site reliability engineering practices, relational databases, Hadoop, big data technologies, or cloud-native services. Familiarity with cloud-native architecture and managed services across AWS, Azure, or Google Cloud Platform. Knowledge ...

platform engineering standards using Databricks Asset Bundles (DABs), Terraform and Azure DevOps or GitHub Actions Lead migrations from legacy platforms (SQL Server, Oracle, SAS, Hadoop, Synapse) with clear cut-over and reconciliation plans Monitor and optimise DBU consumption and cluster policies, giving the client clear cost visibility Enable MLOps ...

microservices, and data integration layers to support high-throughput regulatory reporting. Big Data Processing: Develop and optimize distributed data processing jobs using Apache Spark, Hadoop, and Hive to aggregate and transform large-scale financial datasets. Real-Time Streaming: Build and maintain real-time data ingestion and streaming pipelines using … using Spring Boot , Spring Cloud, Spring Data, and Spring Security. Big Data Technologies: Strong, hands-on experience with distributed computing frameworks, specifically Apache Spark , Hadoop , and Hive . Proven ability to write and optimize complex Spark jobs. Real-Time Streaming: Practical experience designing and implementing event-driven systems using ...

moderately complex systems and improving reliability/performance Strong fundamentals: data structures, testing, version control, Linux basics Nice to have: Spark/PySpark experience Hadoop ecosystem exposure (HDFS/HBase) Workflow orchestration (Airflow/Dagster/NiFi) Search/indexing (OpenSearch, MongoDB) Kubernetes and infrastructure‐as‐code Degree ...

from kernel, networking, storage, to applications Work in Python to design and deliver open source code Architect cloud infrastructure solutions like OpenStack, Kubernetes, Ceph, Hadoop and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) Coach and develop your colleagues where you have insights Grow ...

lead the design, development, and optimization of our data infrastructure in a hybrid role based in Hounslow. You will build scalable pipelines with Spark, Hadoop, Hive, and AWS, maintain data warehouses on Oracle/SQL Server, and drive data quality and security. You will leverage Informatica and scripting ...

following middleware technologies (Kafka preferrable, Nats, Solace, TiBCo, RabbitMQ etc.) Experience working with SQL and databases such as Oracle, SQL Server, Hadoop etc. Experience with Java Multithreading/Concurrency, Web Services (SOAP/REST), DB2 Database, JMS, MQ, NDM, SFTP Acquainted with industry best practices and standards, software development ...