24 of 24 Remote/Hybrid Hadoop Jobs in London

Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation and analysis using SQL and big data technologies (e.g., Spark, Hadoop). Experience with ETL, data pipelines, and automated workflows for moving and processing data.Data Governance: Adherence to data governance, security, and privacy standards throughout ...

business needs.Bonus Points If You Have:Certifications: Google Cloud or AWS Certified Solutions Architect certification.ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink.Data Architecture: Proven ability in designing and building ...

similar languages relevant to data manipulation and scripting.Data Engineering: Proficiency in data manipulation and analysis using SQL and big data technologies (e.g., Spark, Hadoop). Experience with ETL/ELT, data warehousing, and automated workflows for moving and processing data.Data Governance: Strong understanding and practical experience with data governance ...

Python, or similar languages relevant to data manipulation and scripting.Proficiency in data manipulation and analysis using SQL and big data technologies (e.g., Spark, Hadoop). Experience with ETL/ELT, data warehousing, and automated workflows for moving and processing data.Familiarity with data modelling techniques (e.g., dimensional, relational) and data ...

planningRequired Skills & ExperienceTechnical SkillsStrong proficiency in SQL and data modellingExcellent programming skills in Python, Scala, or JavaHands-on experience with distributed data frameworks (Spark, Hadoop)Experience with data pipelines and ETL toolsExpertise in at least one cloud platform:Azure (Synapse, Data Factory, Databricks)AWS (S3, Glue, Redshift, Lambda ...

software development lifecycleSolid background in Java/Scala and a scripting language like Python.Experience building large scale data pipelinesStrong familiarity with the Apache Hadoop ecosystem including : Spark, Kafka, Flink, Iceberg/Delta Lake/Hive, Apache Presto/Trino, etc.Experience with relational SQL and NoSQL databases, including Postgres/ ...

Experience with data warehousing concepts and technologies.Knowledge of other BI tools (e.g., Tableau, Looker) and data modelling techniques.Familiarity with big data technologies (e.g., Hadoop, Spark).Familiarity with modern data architecture (e.g., Data Mesh, Fabric).An understanding of infrastructure as code (e.g., Terraform)Experience with CI/CD pipelines ...

Python . Expertise in SQL and large-scale data modelling. Strong cloud experience across GCP, AWS, or Azure . Experience with Databricks, Snowflake, or Hadoop ecosystems . Knowledge of data ingestion, ETL/ELT frameworks, and batch/real-time processing. Applications are now open. ...

/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks.Proficiency with large-scale data processing and storage technologies (SQL, Spark, Hadoop) is a plus.Excellent stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences.You can understand client challenges ...

enabled tools responsibly to improve productivity while maintaining appropriate human oversight, governance, and solution quality.Bonus Points ForDevelopment experience using Scala or Java.Familiarity with Cloudera, Hadoop, Hive, Spark, and related distributed data ecosystems.Experience working with sensitive data and applying data privacy regulations, including GDPR.Curiosity to explore new technologies, including responsible ...

Life Sciences. Experience working for a software vendor, SaaS provider, or professional services organisation. Familiarity with Ataccama or similar enterprise data platforms. Exposure to Hadoop/Spark, NoSQL, XSLT, Hive, Kafka, Snowflake, or Databricks. Python or other programming languages. Familiarity with SDLC, code management and upgrades, and Unix/ ...

Azure, GCP or equivalent) and their AI/ML services.Proficiency in data manipulation and analysis using SQL and big data technologies (e.g., Spark, Hadoop) is a plus.Experience with MLOps tools and best practices for model deployment, monitoring, and governance.Education and Experience:Bachelor's or Master's, or equivalent degree ...

business objectives.A bit 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 ...

/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks.Proficiency with large-scale data processing and storage technologies (SQL, Spark, Hadoop) is a plus.Excellent stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences.Connect to your business - Technology ...

Government, Public Sector, Security, Justice, Defence, Healthcare or other similarly challenging environments . Experience with large-scale data technologies such as SQL, Spark or Hadoop would also be beneficial. About You You will be a technically credible leader who is still comfortable getting into the detail. You will understand ...

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 ...

following would be beneficial but not essential:Working with big data technology, ideally Spark but others will also be useful such as Hadoop or ElasticsearchExperience with DevOps tooling and approaches (automation and tooling is something we are passionate about, we even have a dedicated Developer Tooling team)Building data ...

role. You will lead requirements for the Treasury Analytics Group, support FIS Quantum & TBSM, and work on a new risk/analytics platform using Hadoop, Spark, and NoSQL tools. The role reqs 5+ years of experience, Linux/Oracle/MS SQL, ITIL, and scripting with Java/Python. ...

Java· HTML CSS· VUE or GWT· Highly motivated· Delivery focused and accountable.Additional exposure to the following is desired: – Tech Stack you will learn· Hadoop and Flink· RUST, Javascript, React, Redux, Flow· Linux, Jenkins· Kafka, Avro, Kubernetes, Puppet· Involvement in the Java communityMy client is based London. Home work ...

prior roles.Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)Experience working in a fast-moving tech company or startup.This role is a full-time role based in Sunnyvale ...

ideas to productionTrack record of promoting statistical rigour and experimental best practice across a teamPrior experience with large datasets and distributed computing (e.g. spark, hadoop or other map-reduce tech)Experience working in a fast-moving tech company or startupThis is a full-time role based in our office ...

Experience with building highly scalable distributed systems and batch processing pipelines with a focus on data integrity Experience with multiple data storage technologies (MySQL, Hadoop, Cassandra) Experience with AWS (DynamoDB, RDS, Step functions, EC2, Kinesis) is a plus. Experience with unit, integration, and end-to-end testing paradigms Experience ...

toolsVersion control toolsAutomated builds with continuous integrationAgile methodologiesPassion for continuous improvement and building a world-class engineering teamAdditional exposure to the following is desired:Hadoop and FlinkJunit 5, Mockito, AvroLinux, JenkinsDocker, Kubernetes, PuppetInvolvement in the Java communityMy client is based London. ...

database systems work and how to manage them e.g Oracle, Postgresql. Does not need to be a Database Administrator.Understanding of Kubernetes, Cassandra, Hadoop, and how distributed systems work in general.Previous experience with server hardware e.g. Dell, HP, etc as well as network engineering, in production data centre environments.Solid practical ...