Mid-Level Data Engineer: Real-Time Analytics Pipelines

ECLARO; Taguig; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

ECLARO seeks a Data Engineer-Mid in Metro Manila to implement complex databases and data pipelines. You will work with leaders on high-profile analytics projects that drive business strategies and ensure sound engineering practices.

You will guide data engineering within the Corporate Actuarial Data & Technology team. Responsibilities include data manipulation with SQL and Python, automating ingestion and transformation, documenting sources, and improving data quality.

Qualifications

• 1–2+ to 3–4+ years of data/software engineering with SQL and Python.
• Experience with dimensional data modeling (star schema).
• Familiarity with the MLOps framework.
• Strong data manipulation skills for analytics.

Responsibilities

• Work with strategic partners to solve business problems by developing best-in-class data solutions
• Perform data manipulation using SQL and Python to develop data assets
• Leverage technology to automate data ingestion, transformation and integration
• Provide the appropriate level of documentation of sources and technical solutions
• Evaluate data quality and completeness
• Build strong partnerships with peers across the organization to support data-related goals
• Explore new technologies and data sources with curiosity and creativity
• Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines
• Discover and explore new sources of data with curiosity and creativity
• Create and maintain optimal data pipeline architecture

Skills

SQL

Python

Data analytics

Dimensional modeling

MLOps

Critical thinking

Collaboration

Communication

Problem solving

Adaptability

Education

BS in Computer Science / Information Technology / Data Analytics

Job description

ECLARO seeks a Data Engineer-Mid in Metro Manila to implement complex databases and data pipelines. You will work with leaders on high-profile analytics projects that drive business strategies and ensure sound engineering practices.

You will guide data engineering within the Corporate Actuarial Data & Technology team. Responsibilities include data manipulation with SQL and Python, automating ingestion and transformation, documenting sources, and improving data quality.