26 to 50 of 193 Permanent Hadoop Jobs

Experience with Microsoft Azure a plus: Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory Understanding of Big Data technologies (Hadoop, Spark) Able to create rich visualisations that appropriately represent the underlying datasets. Review and align the reporting attributes against the Enterprise and conceptual data ...

comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevant You will also work with ...

Experience with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Azure Data Lake Storage). Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus. Knowledge of data governance and data security best practices. Strong problem-solving skills and attention to detail. Excellent communication ...

Experience with Microsoft Azure (a plus): Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory. Understanding of big data technologies (Hadoop, Spark). Able to create rich visualisations that appropriately represent the underlying datasets. Review and align the reporting attributes against the enterprise and conceptual ...

query languages such as SQL, PL/SQL, Python, Java, Ruby or R.Experience with relevant modern data technologies such as BigQuery, Databricks, Snowflake, MongoDB, Hadoop, Redis, Kafka or similar. The ability to select technologies based on scalability, performance, security, interoperability and business requirements. Experience documenting complex architectures clearly through ...

Experience with Microsoft Azure a plus: Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory Understanding of Big Data technologies (Hadoop, Spark) Able to create rich visualisations that appropriately represent the underlying datasets. Review and align the reporting attributes against the Enterprise and conceptual data ...

comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment approaches where relevant What We Are Looking ...

Gradle). Desirable skills: Scala: Hands-on experience or a strong functional programming background using Scala. Big Data: Exposure to Apache Spark, Kafka, or Hadoop ecosystems. Cloud: Experience with AWS, Azure, or Google Cloud Platform. Experience in banking or financial services industry. Soft Skills Strong problem-solving abilities. Clear ...

Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) is a plus. Domain Knowledge Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations. In-depth knowledge ...

Server, Oracle, Snowflake, Databricks).Experience with data integration (ETL/ELT, APIs).Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus. Domain Knowledge: Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations. In-depth knowledge of regulatory ...

Server, PostgreSQL, Oracle, MySQL; Data visualisation software: Spotfire, Tableau, or Power BI; Azure cloud computing platform; Big data technologies such as Spark, Elasticsearch, Hadoop; Statistical techniques (regression, clustering etc.); Machine learning and pattern recognition; Front-end web development e.g. HTML, JavaScript; We are looking for tenacious and curious individuals ...

Experience working in an IT project team following SDLC and DevOps methodologies Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or Kafka Experience with designing and building cloud-based databases, data lakes, and data warehouses Experience using tools such as Azure ...

degree, or experience in a professional field or military- Experience as technical specialist in design and architecture- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)- Experience in consulting, design and implementation of serverless distributed solutions- Experience in cloud based solution (AWS or equivalent), system, network and operating ...

solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data ...

solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data ...

solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data ...

solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data ...

solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming ...

solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming ...

infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different ...

Data Warehousing concepts. Experience of Enterprise ETL tools such as Informatica, Talend, Datastage or Alteryx. Project experience using the any of the following technologies: Hadoop, Spark, Scala, Oracle, Pega, Salesforce. Cross and multi-platform experience. Team building and leading. You must be: Willing to work on client sites, potentially ...

concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers).Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP).Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterprise environments. ...

such as Pulsar, Kafka, RedPanda. Must have knowledge and experience automatically provisioning and supporting multiple big data technologies; such as MongoDB, DataBricks, Big Query, Hadoop, Spark, Trino, DataLakes/Lakehouse Architectures. Infrastructure management with Terraform Experience with Github or any other source control Knowledge of Scripting/Coding languages ...

technical writing skills. Ability to explain technical concepts to diverse audiences. Preferred Skills: Experience with large-scale data platforms such as Databricks, Spark, Hadoop, or Hive. Experience developing, evaluating, or deploying machine learning and AI solutions, including work with large language models, and cloud environments (e.g., AWS, Azure ...

testing Required Skills and Experience Strong experience with at least two of the following platforms: Cloudera Elastic Stack Dataiku DSS Good knowledge of Hadoop ecosystem technologies such as HDFS, YARN, Hive, Spark and Kafka Experience with Elasticsearch, Logstash, Kibana and Beats Experience designing data pipelines, ETL processes and streaming ...