AWS Data Engineer

2 weeks ago

London, United Kingdom Technopride Ltd Full time

Role OverviewWe are developing a next-generation data platform and are looking for an experienced Senior Data Engineer to help shape its architecture reliability and scalability. The ideal candidate will have more than 10 years of hands-on engineering experience and a strong background in building modern data pipelines working with cloud-native technologies and applying robust software engineering practices.Key ResponsibilitiesDesign & Build Data PipelinesDesign develop and optimise scalable testable data pipelines using Python and Apache Spark.Implement batch workflows and ETL processes adhering to modern engineering standards.Develop Cloud-Based WorkflowsOrchestrate data workflows using AWS services such as Glue EMR Serverless Lambda and S3.Contribute to the evolution of lakehouse architecture leveraging Apache Iceberg.Apply Software Engineering Best PracticesUse version control CI/CD pipelines automated testing and modular code principles.Participate in pair programming code reviews and architectural design sessions.Data Quality & ObservabilityBuild monitoring and observability into data flows.Implement basic data quality checks and contribute to continuous improvements.Stakeholder CollaborationWork closely with business teams to translate requirements into data-driven solutions.Develop an understanding of financial indices and share domain insights with the team.What Youll BringTechnical ExpertiseStrong experience writing clean maintainable Python code ideally using type hints linters and test frameworks such as pytest.Solid understanding of data engineering fundamentals including batch processing schema evolution and ETL pipeline development.Experience withor strong interest in learningApache Spark for large-scale data processing.Familiarity with AWS data ecosystem tools such as S3 Glue Lambda and EMR.Ways of WorkingComfortable working in Agile environments and contributing to collaborative team processes.Ability to engage with business stakeholders and understand the broader context behind technical requirements.Nice-to-Have SkillsExperience with Apache Iceberg or similar table formats (e.g. Delta Lake Hudi).Familiarity with CI/CD platforms such as GitLab CI Jenkins or GitHub Actions.Exposure to data quality frameworks such as Great Expectations or Deequ.Interest or background in financial markets index data or investment analytics. Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Full Time Experience: years Vacancy: 1

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