4 of 4 Amazon EMR Jobs in Leeds

Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloads - Understanding of Data ...

within AWS environments. Knowledge of AWS Lambda and event-driven solutions to support automated data processing. Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools. Understanding of Agile ways of working and experience contributing to CI/CD delivery practices. Ability to optimise data processing … products used by our analysts and data scientists. You will develop and orchestrate PySpark-based ETL pipelines, using technologies such as Amazon EMR, AWS Lambda, and EC2 to process large volumes of structured and unstructured data efficiently. Your role involves collaborating with a wide range of stakeholders ...

with modern AWS technologies to develop scalable data solutions powering reporting, analytics and strategic decision-making. You will build PySpark-based ETL pipelines on EMR, Lambda and EC2, collaborating with stakeholders to translate reporting requirements into robust data solutions. Hybrid working model with time split between home ...

Agile delivery mindset. On AWS, you’re fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore … decision‐making. AI : You understand how AI is built and deployed in modern data platforms (Databricks, Snowflake) and cloud‐native services like Amazon Bedrock, with enough depth to guide teams and advise clients, spanning LLMs and SLMs, agentic automation, Human in the Loop and MLOps. Data Architecture Design ...