6 of 6 Big Data Jobs in Renfrewshire

pushing the envelope to enhance, build, and deliver top-notch technology products. As a Software Engineer II at JPMorgan Chase within the Global Banking, Data, Analytics & Technology division, you will play a pivotal role in an agile team committed to enhancing, creating, and delivering high-quality technology products in … e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Ability to understand design and functionality problems independently with little to no oversight. Experience performing data analytics on AWS platforms. Experience in writing efficient SQLs, implementing complex ETL transformations on big data platforms. Experience in Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.). Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues. Experience with Databricks, Snowflake, Iceberg is required. Preferred qualifications, capabilities, and skills Understanding of application and data design disciplines with an More ❯

leadership in test framework development. Additional valued skills include: Proven ability to test enterprise-level software solutions using tools and techniques such as BDD, Data Reconciliation, Source Control, TDD, Jenkins. Documenting configurations, processes, and best practices. Knowledge of file formats JSON, Iceberg, Avro. Basic knowledge of AWS technologies like … IAM roles, Lakeformation, Security Groups, CloudFormation, Redshift. Big Data/Data Warehouse testing experience. Experience in the Financial services domain. Mentoring experience (not line management). This role will be based in Glasgow. Purpose of the role To design, develop, and improve software, utilizing various engineering methodologies More ❯

The Risk Management & Corporate Technology Machine Learning team at JPMorgan Chase is dedicated to addressing complex business challenges through the application of data science and machine learning techniques across Risk, Compliance, Conduct, and Operational Risk. As an Applied AI/ML Engineer on the team, you will have the … apply advanced algorithms to develop, test, and evaluate AI/ML applications or models for these challenges. You will leverage the firm's extensive data resources from both internal and external sources using Python, Spark, and AWS, among other systems. You are expected to extract business insights from technical … technical audience. Job Responsibilities Design and architect end to end solutions in AI domain ranging from Anomaly detection Use cases, Chat with your at data, and using GenAI. Proactively develop an understanding of key business problems and processes. Execute tasks throughout the model development process, including data wrangling More ❯

the team as you will be involved in developing and re-architecting legacy systems using cutting-edge technologies and driving the business into the Big Data era. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of … by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyses, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills More ❯

code and maintain algorithms aligned with system requirements. Create architecture and design artifacts for complex applications, ensuring design constraints are met. Analyze large, diverse data sets to develop visualizations and reports that facilitate continuous software improvement. Identify hidden problems and patterns in data to enhance coding practices and … corporate environments using modern programming and database query languages. Comprehensive understanding of the Software Development Life Cycle. Preferred Qualifications, Capabilities, and Skills Experience with big data technologies. Knowledge of Databricks and Iceberg. Familiarity with message bus technologies such as Kafka or AMPS and query engines like AWS Athena More ❯

options and selecting products aligned to business and technical architectures. Core Area of Expertise: Expertise across cloud-native architecture, Omni-channel system of engagement, big data architecture, advanced analytics & visualization, legacy modernization. Knowledge of the drivers and decision points for organizations to decide on the most appropriate digital More ❯