22 of 22 Hadoop Jobs in Central London

a team-oriented environment. Preferred Skills: Experience with programming languages such as Python or R for data analysis. Knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing concepts. Familiarity with cloud data platforms (e.g., Azure, AWS, Google Cloud) is a plus. Certification in BI tools, SQL, or More ❯

in Palantir Foundry platform is must • Experience designing and implementing data analytics solutions on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred). • Proven track record of understanding and transforming customer requirements into a best-fit design and architecture. • Demonstrated experience in end-to-end More ❯

MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud). • Expertise in ETL tools and processes (e.g. More ❯

data modelling (relational, NoSQL) and ETL/ELT processes. Experience with data integration tools (e.g., Kafka, Talend) and APIs. Familiarity with big data technologies (Hadoop, Spark) and real-time streaming. Expertise in cloud security, data governance, and compliance (GDPR, HIPAA). Strong SQL skills and proficiency in at least More ❯

High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

Experience in commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. Innovative More ❯

or Cloud Composer. Hands-on experience with one or more of the following GCP data processing services: Dataflow (Apache Beam), Dataproc (Apache Spark/Hadoop), or Composer (Apache Airflow). Proficiency in at least one scripting/programming language (e.g., Python, Java, Scala) for data manipulation and pipeline development. More ❯

in Python, SQL , and one or more: R, Java, Scala Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with big data tools (Hadoop, Spark, Kafka), cloud platforms (Azure, AWS, GCP), and workflow tools (Airflow, Luigi) Bonus: experience with BI tools , API integrations , and graph databases Why Join More ❯

incl. various Vector Stores and more traditional technologies e.g. MySQL, PostgreSQL, NoSQL databases). − Hands-on experience with data tools and frameworks such as Hadoop, Spark, or Kafka - advantage − Familiarity with data warehousing solutions and cloud data platforms. − Background in building applications wrapped around AI/LLM/mathematical More ❯

Engineer Experience with Spark, Databricks, or similar data processing tools. Proficiency in working with the cloud environment and various software’s including SQL Server, Hadoop, and NoSQL databases. Proficiency in Python (or similar), SQL and Spark. Proven ability to develop data pipelines (ETL/ELT). Strong inclination to More ❯

identifying and managing sales opportunities at client engagements An understanding of database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. Hadoop, Mahout, Pig, Hive, etc.; An understanding of statistical modelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc.; An understanding of cloud More ❯

data pipelines, ensure data quality, and support business decision-making with high-quality datasets. -Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing -Design and develop scalable ETL pipelines to automate data processes and optimize delivery -Implement and manage data More ❯

algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to work at the forefront More ❯

well-documented, scalable, and reusable data solutions. Strong Pre sales experience within a consulting environment Desirable Skills Experience with big data technologies such as Hadoop, MapReduce, or Spark. Exposure to microservice-based data APIs . Familiarity with data solutions in other public cloud platforms . AWS certifications (e.g., Solutions More ❯

What we’re looking for Proven experience as a Data Engineer in cloud environments (Azure ideal) Proficiency in Python, SQL, Spark, Databricks Familiarity with Hadoop, NoSQL, Delta Lake Bonus: Azure Functions, Logic Apps, Django, CI/CD tools 💼 What you’ll get from Mars A competitive salary & bonus Hybrid More ❯

distributed systems Strong knowledge of Kubernetes and Kafka Experience with Git, and Deployment Pipelines Having worked with at least one of the following stacks: Hadoop, Apache Spark, Presto AWS Redshift, Azure Synapse or Google BigQuery Experience profiling performance issues in database systems Ability to learn and/or adapt More ❯

processes and infrastructure-as-code. • Eligible for SC clearance (active clearance highly advantageous). Desirable Skills • Exposure to large data processing frameworks (e.g., Spark, Hadoop). • Experience deploying data via APIs and microservices. • AWS certifications (Solution Architect Associate, Data Analytics Speciality, etc.). • Experience in public sector programmes or More ❯

scripting languages (e.g., Python, Bash, PowerShell) for automation and data transformation. Proficient in working with databases, data warehouses, and data lakes (e.g., SQL, NoSQL, Hadoop, Redshift). Familiarity with APIs and web services for integrating external systems and applications into orchestration workflows. Hands-on experience with data transformation and More ❯

analysis, preferably in IoT or related fields. Proficient in programming languages such as Python and SQL. Experience with big data tools and platforms (e.g. Hadoop/Snowflake, Spark, Azure IoT Hub, AWS IoT). Please apply to the advert for more information. More ❯

concepts – e.g. Kubernetes , Git-based CI/CD , cloud infrastructure (AWS/GCP/Azure). Bonus: Exposure to tools like Elasticsearch/Kibana , Hadoop/HBase , OpenSearch , or VPN/proxy architectures. Strong grasp of software security principles , system performance optimisation, and infrastructure reliability. Experience working on large More ❯

successful cross-system full-link data fortification implementation experience. Familiarity with at least one language, such as Java, Go, or Python, and knowledge of Hadoop/Spark ecosystems in the big data domain. Preference for candidates with multinational corporate experience in data security and over 3 years of experience More ❯

and Kafka streams to industrialise real-time trade, positions, and reference-data flow. Stand-up AWS landing zone (S3, EKS, MQ) and migrate legacy Hadoop lake into a governed Snowflake estate. Chair Architecture Review Board; own vendor scoring, solution blueprints, and design authority deliverables. Coach globally distributed squads More ❯