12 of 12 Permanent Hadoop Jobs in the South East

experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such as Python Reporting tools More ❯

data modelling tools, data warehousing, ETL processes, and data integration techniques. · Experience with at least one cloud data platform (e.g. AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). · Strong knowledge of data workflow solutions like Azure Data Factory, Apache NiFi, Apache Airflow etc · Good knowledge of stream and batch processing solutions like Apache Flink, Apache More ❯

Scikit-Learn, Keras, TensorFlow, PyTorch, Mllib) Excellent knowledge of analytical techniques, especially in the field of machine learning and pattern recognition and optimization Experience using Big Data platforms (Spark, Hadoop) for large data volumes You will have knowledge of cloud technology stacks (AWS, GCP, Azure) and data visualization tools and applications (Tableau, Qlickview, PowerBI) You should have very good More ❯

Fabric • Data Visualization: Tableau, Power BI • Additional Tools: Kafka, Snowflake Must-Have Qualifications • SQL Server • PL/SQL • Data Warehousing • Tableau/Power BI Nice-to-Have Qualifications • Snowflake • Hadoop • Experience with cloud databases (AWS RDS, Azure SQL) Requirements Tech Stack & Languages • Tech Stack: SQL, PL/SQL, ETL, • Data Warehousing • Languages: SQL, Python, R Relevant Technologies & Tools • Core More ❯

languages (Python, Bash) and programming languages (Java). Hands-on experience with DevOps tools : GitLab, Ansible, Prometheus, Grafana, Nagios, Argo CD, Rancher, Harbour. Deep understanding of big data technologies : Hadoop, Spark, and NoSQL databases. Nice to Have Familiarity with agile methodologies (Scrum or Kanban). Strong problem-solving skills and a collaborative working style. Excellent communication skills , with the More ❯

commercial impact. Understanding of ML Ops vs DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process Video call - high-level overview and initial discussion In-person technical presentation - based on a provided example More ❯

of platform components. Big Data Architecture: Build and maintain big data architectures and data pipelines to efficiently process large volumes of geospatial and sensor data. Leverage technologies such as Hadoop, Apache Spark, and Kafka to ensure scalability, fault tolerance, and speed. Geospatial Data Integration: Develop systems that integrate geospatial data from a variety of sources (e.g., satellite imagery, remote … data-driven applications. Familiarity with geospatial data formats (e.g., GeoJSON, Shapefiles, KML) and tools (e.g., PostGIS, GDAL, GeoServer). Technical Skills: Expertise in big data frameworks and technologies (e.g., Hadoop, Spark, Kafka, Flink) for processing large datasets. Proficiency in programming languages such as Python, Java, or Scala, with a focus on big data frameworks and APIs. Experience with cloud More ❯

e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would More ❯

market mix modelling, or multivariate model developments Familiar with digital tracking technologies (ad servers, DSPs, DMPs) Familiar with big data (e.g. cookie logs) and cloud technologies - AWS, Redshift, S3, Hadoop, Starburst Experience with project management tools such as Jira and Hive. Excellent on Excel, Word and Powerpoint About Annalect EMEA: Omnicom Media Group Europe (OMG EMEA) is the media More ❯

Anti-Financial Crime, AML, KYC, CRM] Technical knowledge in data storage, processing, and containerisation technology such as Cloud or On-prem distributed file systems expertise management platforms such as Hadoop, Cloud or On-prem Distributed File Systems, Spark, Databricks, Kubernetes, and Open Search, Elastic Search Benefits Our perks and quirks. What makes you Q will help you to realize More ❯

/DEVELOPPED VETTING/DEVELOPED VETTED/DEEP VETTING/DEEP VETTED/SC CLEARED/SC CLEARANCE/SECURITY CLEARED/SECURITY CLEARANCE/NIFI/CLOUDERA/HADOOP/KAFKA/ELASTIC SEARCH More ❯

take pride in the software you produce. Apache Maven Desirable Skills and Experience Industry experience of any of the following technologies/skills would be beneficial: Elasticsearch Docker Apache Hadoop, Kafka or Camel. Javascript Knowledge of both Windows and Linux operating systems. Kubernetes Nifi Nsq Apache Ignite Arango Why BAE Systems? This is a place where you'll be More ❯