8 of 8 PySpark Jobs in Berkshire

Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout … years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data ...

outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What ...

this Senior Data Engineering role, you'll design, develop, and maintain data platforms using technologies such as Snowflake, Databricks, Synapse/Fabric, and PySpark, ensuring the scalability, security, and performance of all data systems. As the Senior Data Engineer your role will be to include establishing and championing best ...

Title: Azure Databricks Data Engineer Primary skills: Advanced SQL, Azure Databricks, Azure Data Factory, Azure Datalake. Secondary skills: Azure SQL, PySpark, Azure Synapse. Experience: 10+ Years of Experience Hybrid - 3 Days/Week onsite is MUST About the job We are looking for an experienced Databricks Data Engineer … ingestion and transformation. • Collaborate with Azure stack modules like Data Lakes and SQL DW to handle large volumes of data. • Write SQL, Python, and PySpark code to meet data processing and transformation needs. • Understand business requirements and create data flow processes that meet them. • Develop mapping documents and transformation ...

able to learn new technologies or concepts quickly: Deep experience with Databricks on Microsoft Azure, including Delta Lake, Unity Catalog, Delta Live Tables, PySpark and Databricks SQL, alongside complementary services such as Azure Data Factory, Synapse Analytics, and Microsoft Fabric. Designing and implementing Lakehouse architectures in Databricks to unify … Databricks notebooks, Delta Live Tables, Databrick Jobs and integration with Azure Data Factory for enterprise-scale data ingestion and transformation. Proficiency in Python and PySpark for advanced data engineering, machine learning, and large-scale distributed processing within Databricks. Hands-on experience with Spark optimizations (Adaptive Query Execution, caching, partitioning ...

able to learn new technologies or concepts quickly: Deep experience with Databricks on Microsoft Azure, including Delta Lake, Unity Catalog, Delta Live Tables, PySpark and Databricks SQL, alongside complementary services such as Azure Data Factory, Synapse Analytics, and Microsoft Fabric. Designing and implementing Lakehouse architectures in Databricks to unify … Databricks notebooks, Delta Live Tables, Databrick Jobs and integration with Azure Data Factory for enterprise-scale data ingestion and transformation. Proficiency in Python and PySpark for advanced data engineering, machine learning, and large-scale distributed processing within Databricks. Hands-on experience with Spark optimizations (Adaptive Query Execution, caching, partitioning ...