76 to 100 of 193 Permanent Hadoop Jobs

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 ...

including Cortex AI, data sharing, Snowpark, and Native AppsFamiliarity with financial services cloud migration patterns and the technical landscape of legacy platforms (Teradata, Oracle, Hadoop)Experience with real-time data architectures, streaming ingestion, and event-driven data platforms in regulated environmentsBackground in data mesh, data product design, or enterprise ...

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 ...

experience with MLOps, production ML systems, model lifecycle management, and monitoring.* Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop).* Knowledge of experimental design, scientific methodology, and analysis.* Strong partner management and confirmed ability to influence large organisations without direct authority.* Demonstrated ability ...

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 ...

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 ...

implementing process improvements and automationStrong 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 experienceBenefits ...

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 ...

experience with MLOps, production ML systems, model lifecycle management, and monitoring. Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop). Knowledge of experimental design, scientific methodology, and analysis. Strong partner management and confirmed ability to influence large organisations without direct authority. Demonstrated ability ...

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 ...

Python or Go. Expertise in constructing highly available and fault-tolerant big data environments in the cloud, utilizing NoSQL and RDMS technologies like Hadoop, Spark, PostgreSQL, and cloud-based management tools such as EMR, Athena, and RDS.Ability to implement systems with a security-first mindset, adhering to firm-wide ...

with demonstrable experience of working in rapidly changing client environments. Needs to be a practitioner and proponent of Agile and Dev Ops Proficiency in Hadoop, Spark, Scala, Python, or a programming language associated with data engineering Expertise in building and deploying production level data solutions maintained by application support ...

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 ...

Have:*** Experience in the development of algorithms leveraging R, Python, or SQL/NoSQL* Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL* Experience with visualization packages, including Plotly, Seaborn, or ggplot2* TS/SCI clearance with a polygraph **Clearance:**Applicants ...

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 ...

platform engineering standards using Databricks Asset Bundles (DABs), Terraform and Azure DevOps or GitHub Actions Lead migrations from legacy platforms (SQL Server, Oracle, SAS, Hadoop, Synapse) with clear cut-over and reconciliation plans Monitor and optimise DBU consumption and cluster policies, giving the client clear cost visibility Enable MLOps ...

React.JS, Angular, or similar JavaScript framework Exposure to cloud technologies - AWS EC2, EKS, RDS, S3, Lambdas Big Data Technologies, such as Ab Initio, ETL, Hadoop, Spark, etc. Dress Codes: Business Casual Pay Range: $70 - $72/hr (W2 Only) The specific compensation for this position will be determined ...

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 ...

following would be beneficial but not essential: Working with big data technology, ideally Spark but others will also be useful such as Hadoop or ElasticsearchExperience with DevOps tooling and approaches (automation and tooling is something we are passionate about, we even have a dedicated Developer Tooling team)Building data ...

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 ...

systems such as: Ansible, Terraform, Jenkins, Bamboo, Concourse etc. Observability – SRE Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem Excellent knowledge of YAML or similar languages The following Technical Skills & Experience would be desirable: Jupyter Hub Awareness RabbitMQ or other common queue technology ...

About the roleA Payments FinTech are currently seeking a Data Engineering Lead (Python, Hadoop & SQL) to lead and mentor a talented team of data engineers and scientists as they look to simplify the bank through developing innovative data driven solutions, allowing them to be commercially successful through insight ...