17 of 17 PySpark Jobs in Glasgow

creating Genie Agents, configuring data assets for Natural Language Querying and using Metric Views to create semantic layers. Experience of programming languages: SQL, python & pySpark etc. Experience of development practices: the use of versioning tools such as GitHub, work tracking tools such as Azure DevOps, or equivalents. A proven ...

services, and scripting and automation using common libraries and frameworks relevant to the role Experience with data engineering and analytics platforms such as PySpark, Databricks, Airflow, or similar orchestration tools Experience with relational databases and SQL; familiarity with NoSQL databases and data modeling concepts Knowledge across the data lifecycle ...

APIs and services, and scripting and automation using common libraries and frameworks relevant to the roleExperience with data engineering and analytics platforms such as PySpark, Databricks, Airflow, or similar orchestration toolsExperience with relational databases and SQL; familiarity with NoSQL databases and data modeling conceptsKnowledge across the data lifecycle including ...

Azure/GCPExposure to LLM models like ChatGPT, Google Bard etc. Exposure to Langchain, RAG and Fine Tuning of the LLM Models. Exposure to PySpark and Databricks for Data pipeline creation. Familiarity with modern front-end technologiesExposure to cloud technologiesExperience with ReactJS front-end development is a plusJ.P. Morgan ...

/GCP Exposure to LLM models like ChatGPT, Google Bard etc. Exposure to Langchain, RAG and Fine Tuning of the LLM Models. Exposure to PySpark and Databricks for Data pipeline creation.Familiarity with modern front-end technologies Exposure to cloud technologies Experience with ReactJS front-end development is a plus ...

skills Formal training or certification on software engineering concepts and proficient applied experience Proficiency in Python is essential, with strong working knowledge of SQL, PySpark, Snowpark, or similar tools for data engineering and analytical workflows Hands-on practical experience in system design, application development, testing, and operational stability Hands ...

capabilities, and skillsFormal training or certification on software engineering concepts and proficient applied experienceProficiency in Python is essential, with strong working knowledge of SQL, PySpark, Snowpark, or similar tools for data engineering and analytical workflowsHands-on practical experience in system design, application development, testing, and operational stabilityHands-on experience ...

continuous integration/continuous delivery, application resiliency, and securityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Databricks, PySpark, artificial intelligence, machine learning, mobile, etc.)Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing ...

continuous integration/continuous delivery, application resiliency, and security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Databricks, PySpark, artificial intelligence, machine learning, mobile, etc.) Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding ...

consulting and technology services. The candidate will design, build, and maintain scalable data pipelines, data lakes, and data warehouse solutions on AWS, using PySpark, Spark, Python, and AWS services to enable #J-18808-Ljbffr ...

unsupervised techniques Experience with tree-based and boosting algorithms such as XGBoost, LightGBM, and related approaches Experience working with large-scale datasets, ideally using PySpark Strong analytical and SQL skills for handling, querying, and interpreting complex datasets Ability to communicate insights effectively through visualisations using tools such as Matplotlib ...

JPMorgan Chase in the United Kingdom is seeking a Lead Software Engineer to advance a trusted Global KYC and Risk Assessment Data Platform within an agile Data Engineering team. You will guide architecture, set engineering ...

with analytics colleagues to turn insights into actionable production workflows. Candidates should be strong in Python, ML techniques, and data visualization, with experience in PySpark and SQL. Location is Glasgow (Edinburgh considered) and the role is onsite 2-3 days per week for a #J-18808-Ljbffr ...

capabilities, and skills Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale Expertise in Python and/or PySpark Advanced knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience … scalable solutions Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Deep hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks ...

ability to contribute across the length and breadth of a projectProficiency in one or more of the following: Java/Spring Boot, Python/PySpark, GraphQL, or mobile development frameworks, with openness and aptitude to work across others as neededExperience with cloud platforms (preferably AWS) and working knowledge … knowledge of the financial services industry and their IT systemsPreferred qualifications, capabilities, and skillsExperience with high-volume batch and real-time data processing using PySpark or similar frameworks, including performance tuning and troubleshooting of large-scale data pipelinesIn-depth knowledge of relational and distributed databases (e.g., Oracle, Databricks) with ...

contribute across the length and breadth of a project Proficiency in one or more of the following: Java/Spring Boot, Python/PySpark, GraphQL, or mobile development frameworks, with openness and aptitude to work across others as needed Experience with cloud platforms (preferably AWS) and working knowledge … financial services industry and their IT systems Preferred qualifications, capabilities, and skills Experience with high-volume batch and real-time data processing using PySpark or similar frameworks, including performance tuning and troubleshooting of large-scale data pipelines In-depth knowledge of relational and distributed databases (e.g., Oracle, Databricks) with ...

data warehouse solutions specifically on AWS. You will be at the forefront of developing high-performance data engineering solutions. The focus is on utilising PySpark, Spark, Python, and various AWS services to enable secure, reliable, and efficient data processing and analytics across enterprise platforms. This position is crucial … enhancing data capabilities within Capgemini's extensive operations. Requirements Proven experience in designing, building, and maintaining scalable data pipelines. Strong proficiency with PySpark, Spark, and Python. Extensive experience with AWS services, particularly those related to data engineering. Ability to develop high-performance data solutions for enterprise platforms. Understanding ...