7 of 7 Permanent Distributed Computing Jobs in the South East

Desirable skills/knowledge/experience: Ability to prepare and process datasets for Power BI usage Experience with One Lake, Azure Data Lake, and distributed computing environments Understanding of financial regulations such as GDPR, SOX etc. Spark application performance tuning Knowledge of Docker/Kubernetes ...

Experience writing complex joins, stored procedures, and performing performance tuning. Big Data Concepts Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical … experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services (AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage). Exposure to workflow ...

Spring MVC, and related technologies. Database Technologies: Strong SQL skills; experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and/or NoSQL solutions. Distributed Systems: Understanding of distributed computing concepts and technologies (e.g., microservices, caching, clustering). Testing Frameworks: Experience with JUnit, Mockito, or similar testing ...

Agile environment Contribute to CI/CD, DevOps, and automated testing Skills & Experience Full-stack development experience Java (Scala exposure a plus) Spark/distributed computing Azure Cloud Relational or cloud databases (Snowflake, Sybase) Front-end frameworks (Angular or similar) Unix/Linux, Agile, DevOps experience ...

Support CI/CD, DevOps, and automated testing to improve software quality Skills & Experience Strong software engineering experience Java (Scala exposure beneficial) Spark/distributed computing experience Familiarity with Azure Cloud Experience with relational or cloud databases (Snowflake, Sybase, or similar) Exposure to front-end frameworks (Angular ...

complex environments. You will work closely with stakeholders to understand real-world data challenges, transform raw and unstructured data into meaningful insights, and apply distributed compute techniques to manage large-scale, high-volume datasets across batch, streaming, and real-time platforms. Key responsibilities Develop and maintain data ingestion pipelines ...

alignment, grounding, tool use, or planning. Experience with enterprise data environments, knowledge graphs, or retrieval systems. Hands-on experience with large-scale training, distributed compute, or evaluation tooling. Why Join? Work on a high-impact ML problem space that blends deep research with real product deployment. Collaborate with ...