tools (Git, Maven, Jenkins, CI/CD) Excellent communication and teamwork skills Bonus Points For Experience in payments, financial services, or fraud detection Familiarity with Big Data tools (Hadoop, Spark, Kafka) Exposure to cloud-native architecture (AWS, GCP, Azure) Understanding of TDD/BDD and modern testing frameworks What's On Offer Hybrid Working - Flexibility with 2 remote days More ❯
associated Data Science tooling. Experience in technical communication with both business stakeholders and technical peers. Experience working with big data concepts, strategies, methodologies, and tools such as MongoDB, Snowflake, Spark, or Hadoop. Knowledge and experience of deploying enterprise scale data science products. Experience in coaching and mentoring team members. Experience and skills we'd love: Computer Vision Expertise: Practical More ❯
have experience in cleaning and transforming datasets for analysis. They should also be familiar with a range of tools including: Alteryx DataRobot SAS Databricks SPSS R Python Scala Java Spark In addition, exposure to data visualization platforms such as Tableau or Power BI would be beneficial. A solid understanding of machine learning concepts is also important for this role. More ❯
with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation More ❯
with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation More ❯
building solutions for Compliance Data Archival & Reporting application. Core Java, Spring and Hibernate will be the primary technologies used supplemented by strong technical knowledge of Oracle databases Knowledge of Spark, Big Data is desirable but not mandatory. The candidate should have hands on experience in designing and developing solutions The candidate will apply internal standards for re-use, architecture … unit test framework like junit and mockito. Experience in any cloud technologies like Openshift/PCF/AWS/GCP. Experience with building distributed systems, using solutions such as Spark, Big Data Technologies would be preferred but not mandatory. Knowledge of Big Data querying tools (Cloudera stack or similar) e.g. Hive or Impala would be preferred but not mandatory. More ❯
When you join KPMG Ireland, you are joining a community of over 4,200 employees who collectively work together, both in person and virtually, to achieve their full potential. We are known as an organisation who want you to come More ❯
When you join KPMG Ireland, you are joining a community of over 4,200 employees who collectively work together, both in person and virtually, to achieve their full potential. We are known as an organisation who want you to come More ❯
When you join KPMG Ireland, you are joining a community of over 4,200 employees who collectively work together, both in person and virtually, to achieve their full potential. We are known as an organisation who want you to come More ❯
conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: Experience in a product development/product management environmenta Relevant experience within core java and spark Experience in systems analysis and programming of java applications Experience using big data technologies (e.g. Java Spark, hive, Hadoop) Ability to manage multiple/competing priorities and manage More ❯
