1 to 25 of 50 Hadoop Jobs

Java/Scala. Databases: Experience across Relational (SQL), NoSQL (MongoDB/Cassandra), and Graph (Neo4j). Big Data: Hands-on experience with Hadoop or Spark. Infrastructure: Comfortable with Linux/Bash, Docker, and Cloud IaaS/PaaS environments. Integrations: Familiarity with BI tools (PowerBI/Tableau) and integration platforms ...

Pandas, NumPy, and Matplotlib. · Proficiency with cloud platforms like AWS, Azure, or Google Cloud Platform (GP). · Familiarity with big data technologies like Hadoop, Spark, or Kafka · Experience with SQL/NoSQL databases and data pipelines. · Experience with containerization and orchestration (e.g., Docker, Kubernetes). Preferred Qualifications: · Hands ...

Ability to communicate complex analytical findings to diverse audiences Preferred Qualifications Experience with cloud platforms (AWS, GCP, Azure) Familiarity with big data technologies (Spark, Hadoop) Experience deploying models into production environments Knowledge of deep learning frameworks (TensorFlow, PyTorch) Experience working in Agile or cross-functional product teams ...

compliance requirements Excellent communication, problem-solving and documentation skills Desirable: Experience with cloud data platforms (AWS, Azure or GCP) Exposure to big data technologies (Hadoop, Spark, Kafka) Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) Experience with API integration and microservices data flows Familiarity with AI/ ...

compliance requirements Excellent communication, problem-solving and documentation skills Desirable: Experience with cloud data platforms (AWS, Azure or GCP) Exposure to big data technologies (Hadoop, Spark, Kafka) Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) Experience with API integration and microservices data flows Familiarity with AI/ ...

optimised for GenAI workloads. Strong knowledge of data modelling, ETL processes, SQL, and scripting languages such as Python. Experience with Big Data technologies (e.g., Hadoop, Spark) and data visualisation tools (e.g., Tableau, Power BI). Familiarity with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.). Experience ...

public cloud (AWS, Microsoft Azure, Google Cloud) 2+ years of experience working with Databricks 3+ years experience with Distributed data or computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL ...

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 ...

seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms. Experience required: Extensive enterprise experience with Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL ...

seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms. Experience required: Extensive enterprise experience with Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL ...

manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus. Big Data/Cloud: Experience with big data tools ( Spark, Hadoop ) and cloud computing platforms ( AWS, Azure, or GCP ) for scalable ML workflows. Visualization: Ability to create clear, compelling data visualizations using tools like Matplotlib ...

years in Python programming, including OOPs, data structures, Stacks, Queues, Scripting, Linkedlists, Arrays, and API development. •Minimum 5 years in Big Data technologies (e.g., , Hadoop). •Minimum 4 years in cloud platforms (AWS, Azure, GCP) and their AI/ML services. •Minimum 5 years in ML model development, data ...

work with modern, “shiny” tools and influence what we adopt next. Use workflow tools such as ADF/Airflow and big data technologies (Spark, Hadoop, Kafka) Private healthcare for you and your family Company pension scheme Flexible benefits (gym membership, tech, health assessments and more) Access to an online ...

experience in leading and developing data engineering platforms. The ideal candidate will possess hands-on expertise in the following areas: Extensive enterprise experience with Hadoop, Spark , and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python . Skilled in handling raw, structured, semi-structured, and unstructured data ...

engage technical and non-technical stakeholders Nice to Have: Experience with modern analytics and BI platforms Knowledge of big data technologies (e.g. Spark, Hadoop) Experience with real-time or event-driven architectures Familiarity with data cataloguing and lineage tools Experience working in regulated or data-sensitive environments Relevant certifications ...

Azure DevOps/GitHub). Excellent communication with technical and non-technical stakeholders. Desired Skills Power BI/Tableau Stakeholder management Spark/Hadoop Unit testing frameworks Azure advanced analytics Data warehousing experience Azure Data Engineer certification Agile/Scrum/Kanban exposure This is a London based role ...

experience in leading and developing data engineering platforms. The ideal candidate will possess hands-on expertise in the following areas: Extensive enterprise experience with Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data ...

experience in leading and developing data engineering platforms. The ideal candidate will possess hands-on expertise in the following areas: Extensive enterprise experience with Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data ...

experience in leading and developing data engineering platforms. The ideal candidate will possess hands-on expertise in the following areas: Extensive enterprise experience with Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data ...

distributed environments and values technical excellence through CI/CD and Agile. The Essentials Pipeline Tech: 5+ years of experience with Kafka, Spark, Hadoop, and DBT . Modern Modeling: Expert skills in Data Vault Mandatory and Dimensional modeling. Cloud & DevOps: Strong AWS experience with a focus on CI/ ...

distributed environments and values technical excellence through CI/CD and Agile. The Essentials Pipeline Tech: 5+ years of experience with Kafka, Spark, Hadoop, and DBT . Modern Modeling: Expert skills in Data Vault Mandatory and Dimensional modeling. Cloud & DevOps: Strong AWS experience with a focus on CI/ ...

distributed environments and values technical excellence through CI/CD and Agile. The Essentials Pipeline Tech: 5+ years of experience with Kafka, Spark, Hadoop, and DBT . Modern Modeling: Expert skills in Data Vault and Dimensional modeling. Cloud & DevOps: Strong AWS experience with a focus on CI/ ...

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 ...

advanced SQL . Data Engineering Experience with ETL/ELT and orchestration tools like Apache Airflow or NiFi . On-Prem Tech Proficiency with Hadoop/HDFS , Spark , and containerization via Docker/Kubernetes (K3s/OpenShift) . AI/ML Practical experience with NLP (HuggingFace) and GenAI frameworks ...

years in Python programming, including OOPs, data structures, Stacks, Queues, Scripting, Linkedlists, Arrays, and API development. Minimum 5 years in Big Data technologies (e.g., , Hadoop). Minimum 4 years in cloud platforms (AWS, Azure, GCP) and their AI/ML services. Minimum 5 years in ML model development, data ...