51 to 75 of 128 Hadoop Jobs

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Artificial Intelligence modeling techniques (logit, GLM, time series, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.) and cloud platforms (AWS, Azure, GCP). Solid academic record. Strong computer skills. Postgraduate studies and/or specialized courses ...

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 ...

scale analytics platforms Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward Financial Services ...

driven approach. Creating code that is open by default and easy for others to reuse. Required SkillsExperience with Big Data technologies, such as Apache Hadoop, Spark or PigAWSApache NiFiPython or JavaBuilt on over a 70 year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. ...

possibility of making serious money doing something you are passionate about. Follow me on Twitter for more roles and news @SebFintechSytems ENgineer – Security, Hadoop, SPark, debian, SELinux, Debian, puppet, ruby , python, kerberos ...

related fields. 5+ years of experience in Big Data; prior experience with Tier-1 Cloud Service Providers (CSPs) is highly preferred. Expertise in the Hadoop ecosystem and deep understanding of components like Spark, Flink, Elasticsearch, Doris, ClickHouse, and Trino.,Strong knowledge of big data architecture, including Data Lake (Iceberg ...

related fields. 5+ years of experience in Big Data; prior experience with Tier-1 Cloud Service Providers (CSPs) is highly preferred. Expertise in the Hadoop ecosystem and deep understanding of components like Spark, Flink, Elasticsearch, Doris, ClickHouse, and Trino., Strong knowledge of big data architecture, including Data Lake (Iceberg ...

delivery environment, translating business requirements into clear, actionable outcomes for engineering teams. Experience working with cloud data technologies, preferably AWS. Alongside an understanding of Hadoop ecosystem fundamentals, and large-scale data processing environments. Experience owning, prioritising and managing complex technical backlogs within an Agile environment, delivering products or capabilities ...

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 ...

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 ...

Monitoring utilising products such as: Prometheus, Grafana, ELK, filebeat etc. Observability - SRE Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem Edge technologies e.g. NGINX, HAProxy etc. Excellent knowledge of YAML or similar languages It is essential for this role that you hold ...

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 ...

generated code and recommendations. Excellent stakeholder communication and collaboration skills. Desirable Experience Python programming experience. Databricks experience. Experience with platforms such as Snowflake, Hadoop, Microsoft SQL Server, or similar enterprise data technologies. Exposure to data architecture, infrastructure optimisation, and performance tuning. Experience within the Microsoft ecosystem, including Teams, Outlook ...

generated code and recommendations. Excellent stakeholder communication and collaboration skills. Desirable Experience Python programming experience. Databricks experience. Experience with platforms such as Snowflake, Hadoop, Microsoft SQL Server, or similar enterprise data technologies. Exposure to data architecture, infrastructure optimisation, and performance tuning. Experience within the Microsoft ecosystem, including Teams, Outlook ...