Contract Duration : 1 year
Required Qualifications
Core Experience (2+ years) :
- SQL querying and data manipulation
- ETL design and implementation
Nice to Have :
Experience with Databricks, Snowflake, or similar data / analytics platformsExposure to CI / CD pipelines and DevOps practicesData visualization or reporting tools (e.g., Plotly)Additional Assets :
Experience in banking or financial services, especially Capital MarketsSQL Server Integration Services (SSIS)REST APIs or Web ServicesMessaging technologies (e.g., Solace, MQRole Overview
We are seeking a motivated Junior Data Platform Developer to support the design, development, and maintenance of data pipelines within a modern analytics environment. This is a contract opportunity for someone early in their career who is eager to build hands‑on experience working with large‑scale data platforms and enterprise systems.
Key Responsibilities
Design, build, and enhance ETL workflows using Python and SQL within a Databricks environmentSupport the ongoing development and maintenance of a centralized data platform used for analytics and reportingCollaborate with multiple technology teams to integrate new data sources and streamline data ingestion processesHelp define and follow data engineering standards, best practices, and reusable patternsAssist with code deployments, unit testing, and release activities to ensure timely and stable deliveriesPartner with Business Analysts during functional testing and support QA teams during regression testingParticipate in design discussions and contribute to technical documentationSupport continuous improvement initiatives across data pipelines and platform processesWhat Success Looks Like
Taking ownership of assigned development tasks from requirements through deploymentTranslating functional requirements into clear, maintainable technical solutionsDelivering high‑quality code that aligns with established standards and timelinesCommunicating effectively with stakeholders during design reviews and implementation phasesContributing to platform enhancements that improve reliability, scalability, and performanceNote : We use AI tools to : obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.
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