Senior Data Engineering Lead

1 week ago

Makati City, National Capital Region, Philippines beBeeData Full time $120,000 - $150,000

We are a team of experts in digital transformation, and we are looking for a highly skilled Senior Data Engineer to join our team.

Key Responsibilities
  • Design, build, and maintain scalable data pipelines using Microsoft Fabric, Azure Data Factory, and related Azure services to support ingestion, transformation, and curation of data.
  • Collaborate with architects, analysts, data modellers, and business stakeholders to deliver robust data solutions.
  • Participate in solution design and technical discussions to ensure scalable and secure data workflows.
  • Implement performance-optimized and secure data workflows, ensuring compliance with governance and quality standards.
  • Create and maintain clear, accurate, and up-to-date technical documentation for data assets, pipelines, and processes.
  • Engage effectively with technical and non-technical team members to ensure shared understanding of requirements and delivery expectations.
  • Translate business and analytical requirements into technical solutions leveraging Microsoft Fabric components and Azure services.
  • Ensure a stable development environment, following CI/CD best practices, monitoring pipeline performance, and addressing issues promptly.
Required Skills and Qualifications
  1. Proven experience of more than 6 years in data engineering, data warehousing, and analytics projects, covering data ingestion, transformation, curation, and delivery.
  2. Strong knowledge of modern data file formats such as Delta Tables, Apache Iceberg, and Parquet.
  3. Proficiency in Python, Spark, Azure Data Factory, and other relevant data transformation tools and frameworks.
  4. Expertise in data modelling across conceptual, logical, and physical layers, with knowledge of Dimensional Modelling and Data Vault 2.0 methodologies.
  5. Experience with cloud data services, preferably within the Microsoft ecosystem, with exposure to AWS or GCP as an advantage.
  6. Hands-on experience with Microsoft Fabric, Databricks, and/or Snowflake.
  7. Skilled in data pipeline orchestration using Azure Data Factory and related frameworks.
  8. Experience with CI/CD pipelines and DevOps practices for automated deployment and integration workflows.
  9. Proficiency in Infrastructure as Code (IaC) tools such as Terraform or Bicep.
  10. Solid understanding of data governance, data management practices, and security considerations for cloud data platforms.
  11. Competence in database performance tuning, optimization, and advanced SQL development.
  12. Knowledge of design patterns, clean architecture, and clean coding principles for scalable data solutions.
  13. Familiarity with testing methodologies in data engineering, including unit, integration, and end-to-end testing.
About Us

We're a global digital specialist company with a strong track record of delivering successful digital solutions. Our team focuses on strategy, research, data science, design, and engineering to drive business impact.

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