Chief Data Innovation Officer

24 hours ago

Tarlac City, Central Luzon, Philippines beBeeDataEngineer Full time $150,000 - $180,000
Job Description

As a Data Engineer, you will play a key role in our team's efforts to design and build scalable data pipelines. You will collaborate with architects, analysts, and business stakeholders to deliver robust data solutions that meet the needs of our clients.

Key Responsibilities
  1. Design and implement scalable data pipelines using Microsoft Fabric and Azure Data Factory to support ingestion, transformation, and curation of data.
  2. Collaborate with cross-functional teams to ensure seamless delivery of data solutions.
  3. Participate in solution design and technical discussions to ensure scalable and secure data workflows.
  4. Implement performance-optimized and secure data workflows, ensuring compliance with governance and quality standards.
  5. Create and maintain clear, accurate, and up-to-date technical documentation for data assets, pipelines, and processes.
  6. Engage effectively with technical and non-technical team members to ensure shared understanding of requirements and delivery expectations.
Requirements
  1. Proven experience of more than 6 years in data engineering, data warehousing, and analytics projects.
  2. Strong knowledge of modern data file formats such as Delta Tables 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.
  5. Experience with cloud data services, preferably within the Microsoft ecosystem.
  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.

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