• Improve code base and data model of the data estate • Assist with maintenance tasks and daily data operations • Monitor data loading process for Datawarehouse ETL/ELT • Migrate Central Backend to Central repository • Collaborate on migration of architecture to Microsoft Fabric • Involve in web scripting data analytics project • Enhance data pipeline and auditing processes • Support production issues across pipelines • Conduct ad hoc data analysis for business stakeholders

• Join our team at smartclip as a Software Engineer, Data Platforms. • You will design and build the engines that process, transform, and refine terabytes of TV and advertising data every single day. • Ensure our data platform is scalable, resilient, and cutting-edge. • Design and implement technical solutions for Big Data applications in an agile, high-performance environment. • Continuously develop and refine our data aggregation pipelines (TV data, advertising, and forecasting) primarily based on Spark and Scala. • Host, manage, and scale your solutions using Docker and Kubernetes within the AWS cloud. • Lead the way in test automation – from unit tests to complex integration tests. • Evaluate new frameworks and tools, share your findings with the team, and help us stay at the forefront of Big Data technology.

• The fellow will support the structuring, development, and evolution of a data solution based on Retrieval-Augmented Generation (RAG), with a focus on organizing, governing, and intelligently providing access to the area's information.

• Design, develop, and maintain secure, scalable ETL/ELT pipelines processing structured and unstructured data from multiple sources • Build and optimize data models and processing workflows to support BI, analytics, and reporting needs • Develop monitoring and alerting solutions to ensure pipeline performance and data quality • Build insightful dashboards, reports, and datasets in Domo • Integrate data from external APIs and third-party systems (e.g., Salesforce) • Collaborate with Software Engineering, Architecture, Product, Analytics, and IT teams • Translate business requirements into robust technical solutions • Conduct code reviews and provide feedback to engineering team members • Mentor other data engineers and contribute to onboarding efforts • Participate in Agile ceremonies including standups, retrospectives, and planning