1 to 25 of 73 Databricks Jobs with Hybrid or WFH Options

Data Engineers. Providing Technical guidance to Data Engineers Knowledge, Experience and qualifications Excellent level of knowledge & experience in Azure Data, including DataLake, Data Factory, DataBricks, Azure SQL (Indicative experience = 5yrs+) Build and test processes supporting data extraction, data transformation, data structures, metadata, dependency and workload management. Knowledge on Spark architecture more »

data access technologies. - Extensive background in database systems along with a strong knowledge of SQL, MySQL. - Experience with (modern) data technologies like AWS, Azure, Databricks, Teradata, Hive, Map Reduce, Spark, Kafka. - Experience with workflow management technologies such as Airflow, Oozie, Luigi, etc. - Experience working in public cloud environments like AWS more »

problems and translate them into technology solutions. Explore and analyse data from various sources and formats using tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML more »

to onboard an experienced (5+ years) Data Warehouse Developer who has strong experience with Microsoft Azure tools including SQL Azure, Azure Data Factory, Azure Databricks, and Azure Data Lake. You will be working directly for an offshore team in India and will be working fully remote. Responsibilities: Requirements more »

and Python, with knowledge of data warehousing and big data frameworks. * Familiarity with technologies such as Airflow, Talend, AWS services, and visualization platforms like Databricks and Tableau. * Experience with testing, versioning, and documentation tools. * A bachelor's or master's degree in Computer Science, Software Engineering, or a related field. more »

Kimball & inmon, and hybrid data warehouse design. Cloud data products such as: Data factory Events Hubs Data Lake Synapse Azure SQL Server Experience developing Databricks and coding with PySpark and Spark SQL. Proficient in ETL coding standards Data encryption techniques and standards Knowledge of relevant legislation such as: Data Protection more »

to optimise workflows and analysis for map reduce processing Experience with BI software (Power BI, Tableau, Qlik Sense) Any experience with data engineering, PySpark, Databricks, Delta Lakes beneficial Confident presenting complex problems in ways suitable to target audience Experience leading or managing a small analysis team Familiarity working in an more »

a wide variety of corporate structured and unstructured sources, 3rd party providers and publicly available data. Leverage cloud data processing frameworks like Apache Spark, Databricks, or similar for handling, processing and analysing complex, high-volume data both structured and unstructured. Ability to script repetitive data tasks in an explainable and more »

warehouse design Detailed knowledge using cloud data products like Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server. Detailed knowledge in developing in Databricks and experience in coding with PySpark. Spark SQL ETL coding standards: ensuring that code is standardised, self-documenting and can be reliably tested Knowledge of more »

high-quality data outcomes via modern data sourcing, integration and modelling techniques. Youll gain exposure to a wide range of modern technology (e.g. Snowflake, Databricks, Spark) and be continually learning. Requirements of the Data Engineer: Strong experience with data analysis, data modelling (Kimball) and governance, with excellent analytical and problem more »

Proven Experience: You have a track record in Data Architecture and Data Engineering. Azure Proficiency: You re proficient across Azure Data Factory, Synapse/Databricks, and Azure Data Lake. Azure Analytics: You possess good knowledge of Azure Analytics, Stream Analytics, Event Hubs, and more. Future-Ready: You re passionate about more »

technical stakeholders. Ideally you will be familiar with technologies such as Airflow, Talend, AWS Lambda, Redshift, S3, and analytics/visualisation platforms such as Databricks and Tableau. #dataengineering #datalead #teamlead #dataengineeringmanager #datatrasnformation #datadevelopment #python #sql #analytics #aws Please get in touch for more details more »

options. Skills & experience required: Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around Azure Extensive experience in implementing solutions around DataBricks, Azure Data Factory, Azure SQL, CosmosDB, Cognite Services, Storage Accounts, Azure Service bus, Azure Functions, Event Hub, Synapse and Azure Purview. Excellent understanding of Microsoft more »

ongoing support and maintenance. Why should you work at Microsoft Business Group? Multi Award Winning Business Official and Award-Winning Microsoft Partner Award Winning Databricks Partner Official GitHub Partner Cloud Native Organisation Growing International and Diverse teams Hugely collaborative environment, where ideas and knowledge sharing are actively encouraged Private Medical more »

Azure Pull together all of the separate entities data and put them into one place SQL/Python experience Must have experience in Azure Databricks Exposure to testing Understand the data lifecycle Data Analysis/Engineering experience Exposure to data modelling nice to have Power BI nice to have If more »

crucial as the role is going to be client facing; you will be leading the engagements with clients, Power Platform, Strong knowledge of ADF, Databricks, ADL & Synapse, MS Stack, Data Engineering, DWH Exposure, Data GovernanceThis role is an urgent requirement, there are limited interview slots left, if interested send an more »

data transformation tools, and data governance techniques Good understanding of Quality and Information Security principles Experience with Azure, ETL Tools such as ADF and Databricks Advanced Database and SQL skills, alng with SQL, Python, Pyspark, Spark SQL Strong understanding of data model design and implementation principles Data warehousing design patterns more »

Docker, or Kubernetes is a plus. Ideally some experience consulting in the past. Most of my clients projects coming in are on Azure and Databricks, so experience here would be a plus. Benefits & Perks The company offers standard corporate benefits, including: 8% holiday pay and 24 holiday days based on more »

Are you an accomplished Data Engineer who wants to further grow their Databricks expertise, develop technical content and presentations, and help build a best-in-class Databricks community of practice? Aimpoint Digital is a fast-growing and fully remote data and analytics consultancy. We partner with the most innovative software … with a respect for the foundations of our craft. You will: Engage in multi-disciplinary teams to deliver complex data & analytics cases on the Databricks platform, becoming a trusted advisor to our clients from data owners and analytic users to C-level executives Serve as a Databricks subject matter expert … for our internal community of technical analytics consultants and as a company ambassador externally Contribute to the growth of our partnership with Databricks in the US as our technical lead Create and deliver engaging technical and thought leadership content (e.g., blogs, webinars, whitepapers, presentations) on the latest Databricks features and more »

Data Engineer - Leading Pharmaceutical Company - Exeter (Tech Stack: Data Engineer, Databricks, Python, Power BI, TSQL, ETL, Agile Methodologies, Refactoring) Are you a talented Data Engineer looking for a new challenge? Our client, a leading pharmaceutical company based in Exeter, is seeking a dedicated and skilled Data Engineer to join their 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 »

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 »