17 of 17 Permanent Hadoop Jobs in the City of London

platforms - Lakehouse architectures and federated queries Extensive experience with databases (SQL & NoSQL - Oracle, PostgreSQL, MongoDB), data warehousing, Data Lakes and ETL/ELT tools Familiarity with big data technologies (Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, GCP), and API integrations Desirable: Data certifications (TOGAF, DAMA), government/foundational data experience, cloud-native platforms knowledge, AI/ML data requirements More ❯

platforms - Lakehouse architectures and federated queries Extensive experience with databases (SQL & NoSQL - Oracle, PostgreSQL, MongoDB), data warehousing, Data Lakes and ETL/ELT tools Familiarity with big data technologies (Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, GCP), and API integrations Desirable: Data certifications (TOGAF, DAMA), government/foundational data experience, cloud-native platforms knowledge, AI/ML data requirements More ❯

automation testing of etl (extract, transform, load) processes and data warehousing. 3. Strong understanding of sql for data querying and validation. 4. Knowledge of big data technologies such as hadoop, spark, or kafka is a plus. 5. Familiarity with scripting languages like python, java, or shell scripting. 6. Excellent analytical and problem-solving skills with a keen attention to More ❯

automation testing of etl (extract, transform, load) processes and data warehousing. 3. Strong understanding of sql for data querying and validation. 4. Knowledge of big data technologies such as hadoop, spark, or kafka is a plus. 5. Familiarity with scripting languages like python, java, or shell scripting. 6. Excellent analytical and problem-solving skills with a keen attention to More ❯

leadership experience Proficiency in modern data platforms (Databricks, Snowflake, Kafka), container orchestration (Kubernetes/OpenShift), and multi-cloud deployments across AWS, Azure, GCP Advanced knowledge of Big Data ecosystems (Hadoop/Hive/Spark), data lakehouse architectures, mesh topologies, and real-time streaming platforms Strong Unix/Linux skills, database connectivity (JDBC/ODBC), authentication systems (LDAP, Active Directory More ❯

leadership experience Proficiency in modern data platforms (Databricks, Snowflake, Kafka), container orchestration (Kubernetes/OpenShift), and multi-cloud deployments across AWS, Azure, GCP Advanced knowledge of Big Data ecosystems (Hadoop/Hive/Spark), data lakehouse architectures, mesh topologies, and real-time streaming platforms Strong Unix/Linux skills, database connectivity (JDBC/ODBC), authentication systems (LDAP, Active Directory More ❯

understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

About Us: Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined More ❯

About Us: Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined More ❯

Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Experience : Minimum 10+ Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance More ❯

at collaborating with cross functional teams Strong Background and experience in Data Ingestions, Transformation, Modeling and Performance tuning. Should have experience in designing and developing dashboards Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and More ❯

at collaborating with cross functional teams Strong Background and experience in Data Ingestions, Transformation, Modeling and Performance tuning. Should have experience in designing and developing dashboards Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and More ❯

Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design tools (Visio, Draw.io, Archi, SparxEA). General More ❯

Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design tools (Visio, Draw.io, Archi, SparxEA). General More ❯

following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 1-2 years of experience in Information Technology. You More ❯

following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 1-2 years of experience in Information Technology. You More ❯