Chief Data Architect

2 days ago

General Santos, Soccsksargen, Philippines beBeeDataEngineer Full time ₱800,000 - ₱1,080,000
Job Overview

We specialize in tech transformation, combining human expertise with AI to create scalable solutions.

Senior Data Engineer, you will design, build, and deploy cutting-edge data solutions, contributing to our data practice.

Main Responsibilities
  1. Create scalable data pipelines using Microsoft Fabric, Azure Data Factory, and related services for efficient data ingestion, transformation, and curation.
  2. Collaborate with architects, analysts, data modellers, and stakeholders to deliver robust 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, adhering to governance and quality standards.
  5. Maintain clear, accurate, and up-to-date technical documentation for data assets, pipelines, and processes.
  6. Foster effective collaboration with team members to ensure shared understanding of requirements and delivery expectations.
  7. Translate business and analytical requirements into technical solutions leveraging Microsoft Fabric components and Azure services.
  8. Ensure a stable development environment, following best practices, monitoring pipeline performance, and addressing issues promptly.
Requirements
  1. Proven experience of over 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 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.
Qualifications

This position requires strong technical skills, excellent collaboration abilities, and a deep understanding of data engineering concepts. If you're passionate about designing and deploying cutting-edge data solutions, this role may be an excellent fit.

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