Azure Data Engineer
Cheltenham | Permanent | £50,000 - £65,000/year | www.cv-library.co.uk |
Azure Data Engineer
Perm
Cheltenham / Hybrid working (2 / 3 days per week onsite)
Up to £65,000pa
Candidates must be eligible for SC Clearance
We're in search of an exceptional Azure Data Engineer to join our Engineering Team. As a member of our dynamic and forward-thinking group, you'll have the chance to actively participate in a broad spectrum of digital projects, spanning cultural awareness, business continuity, and beyond.
QUALIFICATIONS
Due to the nature of client work for this role, you will need to be a sole British national, eligible to work on secure client sites.
We're seeking a Data Engineer with a focus on Azure, showcasing proficiency in:
• Leveraging Azure cloud technologies for tasks such as ETL pipeline development, data warehousing, data lake creation, and data movement.
• Utilizing Azure data and analytics services, including but not limited to Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Stream Analytics, and Azure Synapse Analytics.
• A solid foundation in data engineering, data science, and product development, encompassing experience in both stream and batch processing.
• Designing and deploying production data pipelines, utilizing languages such as Java, Python, Scala, Spark, and SQL.
In addition, you should have proficiency or familiarity with:
• Scripting and data extraction via APIs, along with composing SQL queries.
• Integrating data engineering components into production systems and expertise in data cleaning, data wrangling, data visualization, and reporting.
• Handling substantial volumes of structured and unstructured data, including integration of data through Azure cloud-based ingestion and curation processes.
• Knowledge of data mining, machine learning, and natural language processing is considered advantageous.
• Familiarity with Agile methodologies and participation in Scrum ceremonies.
• Competence in designing and constructing solutions tailored for the Azure cloud environment, which may involve expertise in Platform-as-a-Service components, serverless architecture, and container technologies
Perm
Cheltenham / Hybrid working (2 / 3 days per week onsite)
Up to £65,000pa
Candidates must be eligible for SC Clearance
We're in search of an exceptional Azure Data Engineer to join our Engineering Team. As a member of our dynamic and forward-thinking group, you'll have the chance to actively participate in a broad spectrum of digital projects, spanning cultural awareness, business continuity, and beyond.
QUALIFICATIONS
Due to the nature of client work for this role, you will need to be a sole British national, eligible to work on secure client sites.
We're seeking a Data Engineer with a focus on Azure, showcasing proficiency in:
• Leveraging Azure cloud technologies for tasks such as ETL pipeline development, data warehousing, data lake creation, and data movement.
• Utilizing Azure data and analytics services, including but not limited to Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Stream Analytics, and Azure Synapse Analytics.
• A solid foundation in data engineering, data science, and product development, encompassing experience in both stream and batch processing.
• Designing and deploying production data pipelines, utilizing languages such as Java, Python, Scala, Spark, and SQL.
In addition, you should have proficiency or familiarity with:
• Scripting and data extraction via APIs, along with composing SQL queries.
• Integrating data engineering components into production systems and expertise in data cleaning, data wrangling, data visualization, and reporting.
• Handling substantial volumes of structured and unstructured data, including integration of data through Azure cloud-based ingestion and curation processes.
• Knowledge of data mining, machine learning, and natural language processing is considered advantageous.
• Familiarity with Agile methodologies and participation in Scrum ceremonies.
• Competence in designing and constructing solutions tailored for the Azure cloud environment, which may involve expertise in Platform-as-a-Service components, serverless architecture, and container technologies
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