51 to 75 of 127 Hadoop Jobs

Python data science ecosystem (e.g. NumPy, Pandas, scikit‐learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands‐on experience with Natural Language Processing, graph analytics and advanced analytical methods. Experience using cloud analytics platforms, with strong AWS and native tooling expertise. ...

Python data science ecosystem (e.g. NumPy, Pandas, scikit-learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands-on experience with Natural Language Processing, graph analytics and advanced analytical methods. Experience using cloud analytics platforms, with strong AWS and native tooling expertise. ...

programming languages relevant to data engineering (e.g., Python, Java, Scala). Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop). Demonstrated ability to lead and mentor junior engineers. Existing right-to-work in the UK is required for this position; foreign applicants should ...

gained concurrently): - Snowflake experience - AWS Athena serverless data warehousing One (1) year of experience in the following (experience may be gained concurrently): - Hadoop ecosystem - Hive and Presto - YARN resource management 40 hours/week, 9:30am-5:30pm, Salary: $160,056k - $165k/year. Telecommuting from a home office ...

Azure. Advanced analytics, predictive modelling, machine learning, cognitive tools and artificial intelligence. Structured and unstructured data management systems and models, including relational, columnar store, Hadoop and NoSQL platforms. Modern data visualisation platforms such as Tableau, Power BI, Qlik, MicroStrategy and others. IDEALLY WE'D LIKE: Experience in data ...

/DEI, including mappings, workflows, applications, transformations, and reusable components. Support the migration of data assets, ETL pipelines, and workloads from the Cloudera Hadoop platform (HDFS, Hive, Impala, Spark) to AWS Cloud. Design, develop, and optimise data ingestion, transformation, and loading processes into Amazon S3 Data Lake and Amazon ...

about you: Strong Python knowledge. Ability to read through code. Demonstrable experience collaborating with engineers. Experience with big data technologies such as Hadoop, Spark, or similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas ...

observability platforms, including distributed tracing, logging, metrics, and tools such as Prometheus, Grafana, ELK, or OpenTelemetry. Experience with site reliability engineering practices, relational databases, Hadoop, big data technologies, or cloud-native services. Familiarity with cloud-native architecture and managed services across AWS, Azure, or Google Cloud Platform. Knowledge ...

distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, ELK, or OpenTelemetry). Experience in some of the following is desired: SRE experience, relational databases, Hadoop and big data technologies, knowledge of the financial industry or compliance/risk functions. Familiarity with cloud-native architecture and managed services (AWS, Azure ...

Preferred: Experience in supply optimisation, pricing, marketplace analytics, or a related domain Familiarity with big data querying tools such as Presto, Hive, BigQuery, or Hadoop Exposure to Bayesian methods, causal inference, or multi-armed bandit approaches Experience collaborating with Machine Learning Data Science teams to validate and scale models ...

improvements and automation Strong Python development skills (including Pandas and related data-processing libraries). Experience with big data technologies such as Spark, PySpark, Hadoop, and Hive Exposure to quantitative modelling or financial modelling is a plus but not required. Skills that will help: Global Risk Management experience Benefits ...

Banking systems and data management techniques Familiarity with big data analytics/business intelligence tools (e.g. Tableau, Power BI, Alteryx) and data frameworks (e.g. Hadoop, MAPR, MinIO) would be a distinct advantage Familiarity with coding tools (e.g. Python, SQL) would be a distinct advantage Results focused in a pressurised ...

observability platforms, including distributed tracing, logging, metrics, and tools such as Prometheus, Grafana, ELK, or OpenTelemetry. Experience with site reliability engineering practices, relational databases, Hadoop, big data technologies, or cloud-native services. Familiarity with cloud-native architecture and managed services across AWS, Azure, or Google Cloud Platform. Knowledge ...

Strong understanding of Apache HTTP, Envoy, and REST API design. Experience working with Protobuf, Avro, and Parquet data formats. Knowledge of Iceberg, Databricks, and Hadoop ecosystems. Skills that will help Follows TDD, ATDD and Clean Coding practices and used to setting up or working in an environment using ...

stakeholders to deliver initiatives on schedule. Required Skills & Qualifications: 3-5 years of experience designing, implementing, and maintaining distributed systems. Deep expertise with Cloudera Hadoop ecosystem: HDFS, YARN, Spark, Impala, Ranger. Knowledge of Apache Iceberg and object storage such as S3 or Ozone. Strong Python development for automation ...

Extensive experience working with operational data stores, data warehouse, large‐scale data technologies and data lakes Experience using distributed frameworks (Spark, Flink, Beam, Hadoop) Good knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS Strong experience working with Kafka technologies Clear ...

Government, Public Sector, Security, Justice, Defence, Healthcare or other similarly challenging environments . Experience with large-scale data technologies such as SQL, Spark or Hadoop would also be beneficial. About You You will be a technically credible leader who is still comfortable getting into the detail. You will understand ...

data and analytics platforms Expertise in cloud architectures (preferably Azure, incl. Azure Data Factory, Synapse, Databricks, Fabric, etc.) Experience with big data technologies (Spark, Hadoop, distributed systems) Proficiency in data modelling, especially time-series and simulation datasets Knowledge of APIs, microservices, and event-driven architectures Energy Domain Knowledge Understanding ...

explain technology, techniques and approaches to others. Strong data programming skills in statistical packages and database tools such as SAS, SQL, Python, R, Tableau, Hadoop, Hive, MapReduce and/or other large data systems. Qualified applicants must be U.S. citizens due to security clearance requirements for projects. Preferred Qualifications ...

support. A core component of the role is applying, modifying and designing algorithms and mathematical models to solve business problems using big data architectures (Hadoop, Spark, Cloud). In this role, your primary modelling focus will be neural network‐based forecasting, with a strong emphasis on rigorous evaluation against ...

required, including experience with SAS macros Additional experience with other statistical packages and database tools such as SQL, Python, R, Tableau, Hadoop, Hive, MapReduce and/or other large data systems is welcome but not essential. Prior work with healthcare or administrative claims data is strongly preferred. Strong skills ...

required, including experience with SAS macros Additional experience with other statistical packages and database tools such as SQL, Python, R, Tableau, Hadoop, Hive, MapReduce and/or other large data systems is welcome but not essential. Prior work with healthcare or administrative claims data is strongly preferred. Strong skills ...

microservices, and data integration layers to support high-throughput regulatory reporting. Big Data Processing: Develop and optimize distributed data processing jobs using Apache Spark, Hadoop, and Hive to aggregate and transform large-scale financial datasets. Real-Time Streaming: Build and maintain real-time data ingestion and streaming pipelines using … using Spring Boot , Spring Cloud, Spring Data, and Spring Security. Big Data Technologies: Strong, hands-on experience with distributed computing frameworks, specifically Apache Spark , Hadoop , and Hive . Proven ability to write and optimize complex Spark jobs. Real-Time Streaming: Practical experience designing and implementing event-driven systems using ...

Job Title: DV Cleared Data Engineer Location: Bath Duration: 12 months Rate: Up to 500 per day Must be willing and eligible to go through the DV clearance process Our client, a reputable organisation supporting ...

Data Formats: Strong understanding of Apache HTTP, Envoy, and REST API design, plus experience with Protobuf, Avro, and Parquet. Knowledge of Iceberg, Databricks, and Hadoop ecosystems. TDD, ATDD, and Clean Coding practices within a CI/CD environment (e.g. Jenkins, Gradle). Experience with Scrum/Agile methods ...