13 of 13 Hadoop Jobs in Berkshire

English is required. Preferred Skills: 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 Culture: Be part of a More ❯

data architecture, integration, governance frameworks, and privacy-enhancing technologies Experience with databases (SQL & NoSQL - Oracle, PostgreSQL, MongoDB), data warehousing, 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 ❯

transform traditional business models with cutting-edge digital solutions. Know more about us: https://corporate.jd.com/Key Responsibilities: Build real-time/offline data pipelines (ETL) using Hadoop/Spark/Flink Design data storage solutions (warehouses/lakes) for multi-source heterogeneous data Implement data quality monitoring and SQL optimization Minimum Qualifications Bachelor’s+ in Data More ❯

Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or More ❯

DataStage, Talend and Informatica. Ingestion mechanism like Flume & Kafka. Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau Big data – Hadoop eco-system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming 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 ❯

managing data warehouses and Lakehouse architectures . Proven ability in ETL/ELT processes , data modelling, and integration. Proficiency in Python for data analysis and machine learning. Familiarity with Hadoop/Spark for large-scale data processing. Advanced Power BI for data visualisation and insights. 8+ years’ professional services experience in client-facing roles. Excellent stakeholder management, communication, and More ❯

managing data warehouses and Lakehouse architectures . Proven ability in ETL/ELT processes , data modelling, and integration. Proficiency in Python for data analysis and machine learning. Familiarity with Hadoop/Spark for large-scale data processing. Advanced Power BI for data visualisation and insights. 8+ years’ professional services experience in client-facing roles. Excellent stakeholder management, communication, and More ❯

not help here. Interview includes coding test. Job Description: Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written More ❯

multi-threaded Java – if you haven’t been siloed in a big firm then don’t worry. 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 community My client is based London. Home work is encouraged but you More ❯

on experience (coding, configuration, automation, delivery, monitoring, security). ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones. Significant hands-on experience of HDFS/Hadoop and on-prem (coding, configuration, automation, delivery, monitoring, security). Extensive Big Data hands-on experience - Cloudera or similar. Data Lakes: Azure Data, Delta Lake, Data Lake or Databricks … the UK long-term without the need for Company Sponsorship. KEYWORDS Senior Data Engineer, Coding Skills, Spark, Java, Python, PySpark, Scala, ETL Tools, Azure Data Fabric (ADF), Databricks, HDFS, Hadoop, Big Data, Cloudera, Data Lakes, Azure Data, Delta Lake, Data Lake, Databricks Lakehouse, Data Analytics, SQL, Geospatial Data, FME, QGIS, PostGIS. Please note that due to a high level More ❯

This is a fantastic opportunity for highly skilled and motivated Lead Data Engineer with strong expertise in data architecture, ETL pipelines, cloud technologies and big data solutions - knowledge of Hadoop and HDFS is 100% required! You MUST have also run a team to be considered for this role - it could be a small or medium sized team but you … Delta Lake, Data Lake or Databricks Lakehouse. Certifications: AWS, Azure, or Cloudera certifications are a plus. To be considered for this role you MUST have in-depth experience of Hadoop and HDFS. The role comes with an extensive benefits package including a good pension, good holiday allowance, healthcare, bonus and more! Please note, to be considered for this opportunity … offering sponsorship for this role. KEYWORDS Lead Data Engineer, Senior Data Engineer, Spark, Java, Python, PySpark, Scala, Big Data, AWS, Azure, Cloud, On-Prem, ETL, Azure Data Fabric, ADF, Hadoop , HDFS , Azure Data, Delta Lake, Data Lake Please note that due to a high level of applications, we can only respond to applicants whose skills and qualifications are suitable More ❯