Data Engineer

4 days ago

Philippines Seven Seven Global Services Inc Full time ₱1,200,000 - ₱2,400,000 per year

About the Role:

  • Full-Time Employment
  • Setup: Remote (PH-based only)
  • Schedule: Night Shift

Responsibilities:

  • Contribute to the design, development, and deployment of enterprise data platform components, ensuring high performance, scalability, and resilience.
  • Build and optimize data pipelines, ETL/ELT processes, and data integration workflows to support real-time and batch analytics use cases.
  • Implement and enhance data models, governance frameworks, and secure data access patterns across the organization.
  • Develop and manage data assets within either SQL Server or Snowflake, including stored procedures, performance tuning, and cloud-native features.
  • Support event-driven architecture initiatives such as streaming ingestion, data subscriptions, and automated distribution of data assets.
  • Collaborate with cross-functional teams including Data Architects, Platform Engineers, and Analytics stakeholders to align with enterprise data strategy.
  • Participate in evaluation and adoption of emerging tools, cloud services, and automation to enhance engineering efficiency and innovation.

Qualifications:

  • 5+ years of experience with SQL Server OR Snowflake (administration, data warehousing, performance optimization)
  • Experience building data pipelines using technologies such as Azure Data Factory, SSIS, dbt, Airflow, Spark, or streaming tools (e.g., Kafka, EventHub)
  • Solid understanding of data modeling, metadata management, and governance best practices
  • Familiarity with cloud platforms (Azure, AWS, or GCP) and modern data architectures (data lake/lakehouse)
  • Exposure to AI/ML and intelligent automation is a plus
  • Strong analytical mindset, communication skills, and ability to work in an agile environment

Job Types: Full-time, Permanent

Benefits:

  • Company events
  • Gym membership
  • Health insurance
  • Opportunities for promotion
  • Work from home

Experience:

  • Microsoft SQL Server: 5 years (Preferred)
  • Snowflake: 5 years (Preferred)

Work Location: Remote

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