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Senior Data Engineer
2 days ago
Job Title: Senior Data & Governance EngineerLocation: RemoteContract Duration: 6 months (extendable)Role OverviewWe are seeking a Senior Data & Governance Engineer with 6+ years of experience in designing, building, and delivering enterprise-scale data solutions. The successful candidate will be able to work independently while collaborating closely with onshore teams to design, implement, and maintain scalable data architectures across cloud environments. This role requires strong expertise in data management, governance, and quality frameworks, alongside hands-on technical capability in modern cloud-based data engineering platforms. Key Responsibilities & RequirementsData Management & Governance (Mandatory)Strong expertise in data management, enterprise data modelling, data governance, and data quality assessment practicesSolid understanding of DAMA-DMBOK subject areas with hands-on experience applying themDAMA certification (required)Ability to implement and maintain data governance frameworks, standards, and best practicesData Engineering & ArchitectureProven experience building and managing scalable data pipelines on cloud-based platformsStrong hands-on experience with ETL development, data integration, and real-time data streamingProficiency in Python, SQL, and other relevant programming languagesExperience working with modern data engineering tools and frameworks such as Databricks and Apache SparkStrong knowledge of data modelling, data warehousing, and data lake architecturesExperience designing and implementing cloud-based data and analytics architecturesAutomation, Quality & SecurityAbility to automate data preparation and integration tasksExperience implementing best practices for data governance, security, and complianceHands-on experience with automated testing, monitoring, and validation of data pipelinesCollaboration & DeliveryAbility to work closely with data scientists, IT teams, and business stakeholdersStrong communication and collaboration skills within distributed and cross-functional teamsNice to HaveCloud certifications (e.g., AWS, Databricks)Experience with DevOps practices in data engineering, including CI/CD pipelines
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