13 Databricks Jobs in Scotland

data proficiency Thorough understanding of data lake and data warehousing principles and full project involvement in one or more major technology platforms, e.g. Snowflake, Databricks Proven experience with one or more Cloud Services provider, e.g. AWS, Azure or Google Cloud Platform. Good understanding of role-based access control, its importance more »

bring your knowledge and experience of Azure data processing services to our platform, this will include some of the following: Data factory, Data Share, Databricks, Event hubs and Stream analytics to build data ingestion and processing pipelines that deal with highly confidential data securely and efficiently advise and assist with more »

teams to enhance the advanced analytics user experience and design the architecture for the future. Build and train Machine Learning models using Azure and Databricks technologies Ability to work with ambiguity (e.g., imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs Keep up-to more »

teams to enhance the advanced analytics user experience and design the architecture for the future. Build and train Machine Learning models using Azure and Databricks technologies Ability to work with ambiguity (e.g., imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs Keep up-to more »

demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AxoWS/Oracle cloud, R, Python. Additional Information Location: This role can be delivered in a hybrid nature from one of these more »

Edinburgh office, typically 3 days a week from home and 2 day in office/on client site. Preferred skills: Experience with Azure and Databricks Proficiency in SQL and/or similar data technologies Familiarity with data pipeline tools and ETL processes Knowledge of cloud platforms and data architecture Experience more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

pipelines for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, specifically SPARK performance\tuning\optimisation and Databricks, to play an important role in developing and delivering early proofs of concept and production implementation. You will ideally have experience in building solutions using … high quality work to tight deadlines. Your main responsibilities will be: Designing and implementing highly performant data ingestion & transformation pipelines from multiple sources using Databricks and Spark Streaming and Batch processes in Databricks SPARK performance\tuning\optimisation Providing technical guidance for complex geospatial problems and spark dataframes Developing scalable and … methodology to deliver proof of concept and production implementation in iterative sprints. Qualifications Direct experience of building data piplines using Azure Data Factory and Databricks Spark. Building data integration with Python Hands on experience designing and delivering solutions using the Azure Data Analytics platform. Experience building data warehouse solutions using more »

Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »