6 of 6 Contract Python Jobs in Swindon

related roles Strong hands-on experience with: AWS Data-based solutions and engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python (for data processing and pipeline development) Infrastructure and tooling exposure (e.g. Terraform, APIs, CI/CD) AI/ML Exposure (Key Requirement): Practical exposure ...

decisions Key Requirements Proven experience working as a Data Scientist within the public sector Strong expertise in AI and machine learning techniques Proficiency in Python/R and relevant data science libraries Experience with data manipulation, modelling, and visualisation Strong communication skills and ability to translate data into insights Desirable ...

umbrella only Primary skills Data Engineering & Pipeline Development (ETL/ELT design and implementation) Strong SQL & Data Modeling (query optimization, schema design) Programming Skills (Python/Scala for data processing) Big Data Processing (Spark/Databricks) Cloud Data Platforms (Azure/AWS/GCP - especially data services) Secondary skills ...

umbrella only Primary skills Data Engineering & Pipeline Development (ETL/ELT design and implementation) Strong SQL & Data Modeling (query optimization, schema design) Programming Skills (Python/Scala for data processing) Big Data Processing (Spark/Databricks) Cloud Data Platforms (Azure/AWS/GCP - especially data services ...

umbrella only Primary skills Data Engineering & Pipeline Development (ETL/ELT design and implementation) Strong SQL & Data Modeling (query optimization, schema design) Programming Skills (Python/Scala for data processing) Big Data Processing (Spark/Databricks) Cloud Data Platforms (Azure/AWS/GCP - especially data services) Secondary s click ...

migrations from legacy setups using DBFS-mounted tables and Hive Metastore. You'll bring strong AWS knowledge, hands-on experience working with S3 via Python, a solid understanding of data storage formats, and practical Python development expertise. What you'll be doing Lead the migration of Databricks assets (notebooks, jobs … Databricks environment for structure, access, and governance Automate infrastructure and deployments using Terraform and/or CloudFormation Build and maintain data pipelines using Python, SQL and Databricks APIs Monitor platform performance using tools such as CloudWatch, Grafana, and Kibana Collaborate with engineering teams, stakeholders, and platform users What ...