5 of 5 ETL Jobs in Newport

months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/Gold layers) • Integrate data from multiple sources ...

strong sense of ownership Motivation to learn quickly in a fast-paced startup environment Nice to Have Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering) Familiarity with tools such as PySpark, Airflow, dbt, or Databricks Experience working with business systems (ERP, CRM, operational data) Interest ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

Integration architecture Event-driven architecture patterns (distributed design patterns more generally is an advantage) API design, management, and governance Extensive experience improving and optimising ETL processes, presumably using IPaaS tooling Data architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient ...

Real Time Monitoring and Predictive AI Key responsibilities: Design and maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and … services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real ...