Chief Data Engineering Specialist

3 days ago

Las Piñas, National Capital Region, Philippines beBeeDataEngineer Full time ₱1,500,000 - ₱2,000,000
Senior Data Engineer

At our organization, we are seeking a highly skilled Senior Data Engineer to join our team. This is an excellent opportunity for a professional with extensive hands-on experience in data architecture and engineering.

The ideal candidate will have a strong background in designing, building, and maintaining scalable data pipelines using Microsoft Fabric, Azure Data Factory, and related Azure services.

Responsibilities include collaborating with architects, analysts, data modellers, and business stakeholders to deliver robust data solutions, participating in solution design and technical discussions to ensure scalable and secure data workflows, and implementing performance-optimized and secure data workflows, ensuring compliance with governance and quality standards.

Additional responsibilities include creating and maintaining clear, accurate, and up-to-date technical documentation for data assets, pipelines, and processes, engaging effectively with technical and non-technical team members to ensure shared understanding of requirements and delivery expectations, and translating business and analytical requirements into technical solutions leveraging Microsoft Fabric components and Azure services.

Requirements
  • Proven experience of more than 6 years in data engineering, data warehousing, and analytics projects, covering data ingestion, transformation, curation, and delivery.
  • Strong knowledge of modern data file formats such as Delta Tables, Apache Iceberg, and Parquet.
  • Proficiency in Python, Spark, Azure Data Factory, and other relevant data transformation tools and frameworks.
  • Expertise in data modelling across conceptual, logical, and physical layers, with knowledge of Dimensional Modelling and Data Vault 2.0 methodologies.
  • Experience with cloud data services, preferably within the Microsoft ecosystem, with exposure to AWS or GCP as an advantage.
  • Hands-on experience with Microsoft Fabric, Databricks, and/or Snowflake.
  • Skilled in data pipeline orchestration using Azure Data Factory and related frameworks.
  • Experience with CI/CD pipelines and DevOps practices for automated deployment and integration workflows.
  • Proficiency in Infrastructure as Code (IaC) tools such as Terraform or Bicep.
  • Solid understanding of data governance, data management practices, and security considerations for cloud data platforms.
  • Competence in database performance tuning, optimization, and advanced SQL development.
  • Knowledge of design patterns, clean architecture, and clean coding principles for scalable data solutions.
  • Familiarity with testing methodologies in data engineering, including unit, integration, and end-to-end testing.
Benefits
  • Mentorship: Opportunity to mentor and share knowledge with junior team members.
  • Consulting Mindset: Adaptability in diverse situations and managing changing priorities.
  • Communication: Strong skills in communicating clearly with team members and clients.
  • Understanding of non-functional requirements, including performance, security, and data privacy.
  • Passion for Data: Enthusiasm for working with data, coding, and problem-solving.
  • Innovative Spirit: Drive to continuously improve and innovate pipelines and dashboards.
  • AI Enthusiast: Interest in AI technologies such as Generative AI for self-augmentation and performance improvement.

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