3 of 3 Remote Amazon EMR Jobs in the City of London

to shape it with us. Your role will involve: • Designing and developing scalable, testable data pipelines using Python and Apache Spark • Orchestrating data workflows with AWS tools like Glue, EMR Serverless, Lambda, and S3 • Applying modern software engineering practices: version control, CI/CD, modular design, and automated testing • Contributing to the development of a lakehouse architecture using Apache … building ETL pipelines Has experience with or is eager to learn Apache Spark for large-scale data processing Is familiar with the AWS data stack (e.g. S3, Glue, Lambda, EMR) Enjoys learning the business context and working closely with stakeholders • Works well in Agile teams and values collaboration over solo heroics Nice-to-haves: It’s great (but not More ❯

Performance-related bonus Private medical care And many more Role and Responsibilities Develop and maintain AWS-based data pipelines using Python, PySpark, Spark SQL, AWS Glue, Step Functions, Lambda, EMR, and Redshift. Design, implement, and optimise data architecture for scalability, performance, and security. Work closely with business and technical stakeholders to understand requirements and translate them into robust solutions. … client workshops, gather feedback, and provide technical guidance. Required Skills & Experience Strong hands-on experience in Python, PySpark, and Spark SQL. Proven expertise in AWS Glue, Step Functions, Lambda, EMR, and Redshift. Solid understanding of cloud architecture, security, and scalability best practices. Experience designing and implementing CI/CD pipelines for data workflows. Proven ability to structure solutions, solve More ❯

and collaborating with cross-functional teams to meet client objectives. What you’ll do Design and maintain AWS data pipeline architecture Develop solutions using Python, AWS Glue, Step Functions, EMR and Redshift Implement CI/CD pipelines and ensure best practices for security and scalability Work closely with developers, architects, and analysts on data initiatives Required Skillset 5+ years … professional experience in Data engineering roles Strong Python programming experience Hands-on AWS services: Glue, Lambda, Step Functions, EMR, Redshift Proficiency with PySpark and Spark SQL Understanding of infrastructure, deployment strategies, and capacity planning Experience with CI/CD in AWS Financial background More ❯