Senior Data Solutions Developer

23 hours ago

Calamba, Calabarzon, Philippines beBeeDataEngineer Full time $85,000 - $122,000
Job Summary

We are seeking an experienced Data Engineer to develop and maintain large-scale data solutions that meet business requirements. The ideal candidate will have a strong background in designing and implementing data architectures, as well as experience with data integration and transformation.

  • Data Architecture & Storage: Design robust data models, flows, and storage systems using industry-leading technologies; Manage master data with best-in-class tools and integrate with existing systems.
  • Data Integration & Transformation: Build and manage complex data pipelines using cloud-based services and related tools; Ingest data from APIs and external systems into the enterprise ecosystem.
  • Testing, Monitoring & Optimization: Ensure data quality, consistency, and integrity across all stages; Troubleshoot performance issues and fine-tune data pipelines; Use advanced monitoring tools and data estate management software.
  • Advanced Analytics & Reporting: Develop OLAP cubes and tabular models with advanced analytics platforms; Write complex queries for data analysis; Integrate data models with reporting tools for business insights.
  • Collaboration & Documentation: Work closely with cross-functional teams to translate business needs into data-driven solutions; Document architectures, processes, and provide support/training as needed; Participate in Agile development methodologies and contribute to continuous improvement.
Requirements
  • 5+ years of experience in data engineering, database development, or architecture.
  • Proficiency with SQL, NoSQL, and data warehousing concepts.
  • Master data management using leading-edge software.
  • Management of data estate using advanced data governance tools.
  • Deep knowledge of cloud services: ADF, Fabric, Synapse, Data Lake, Purview, etc.
  • Experience with data governance (leading-edge software preferred).
  • Strong understanding of data security, compliance, and API integration.
  • Hands-on experience with advanced analytics platforms (OLAP & tabular models), complex queries, and data visualization.
  • Experience managing performance, data pipelines, and complex data models.
  • Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or equivalent experience.

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