Data Engineer-Mid

ECLARO; Philippines; On-site; PHP 300,000 - 600,000; Full time

Job summary

ECLARO in the Philippines is seeking a Data Engineer-Mid to build complex databases and data pipelines that fuel real-time decision making. You will work with leaders across the company on analytics projects and guide engineering best practices.

Join a fast-paced, collaborative team within Corporate Actuarial Data & Technology to advance data capabilities, automate ingestion and transformation, and deliver scalable data solutions that support strategic business outcomes.

Qualifications

• Proficient with SQL and Python for data manipulation and analytics.
• Experience with relational databases and dimensional modeling (star schema).
• Familiarity with the MLOps framework and data engineering best practices.
• Strong analytical thinking and ability to communicate complex data concepts.

Responsibilities

• Develop best-in-class data solutions with strategic partners.
• Manipulate data using SQL and Python to create data assets.
• Automate data ingestion, transformation and integration pipelines.
• Document data sources and technical solutions.
• Assess data quality and completeness.
• Collaborate across the organization to meet data-related goals.
• Explore new technologies and data sources with curiosity.
• Identify and implement internal process improvements to optimize pipelines.
• Create and maintain scalable data pipeline architectures.

Skills

SQL

Python

Relational databases

Data analytics

MLOps

Communication

Collaboration

Education

BS in Computer Science / Information Technology or related

Job description

Role: Data Engineer-Mid

The Data Engineer will implement complex databases and data pipelines that put analytics at the heart of real-time decision-making. They will work closely with leaders across the company on high-profile analytics projects that drive business strategies. They provide technical guidance and ensure the use of sound engineering practices and effective use of resources. As a key member of the Corporate Actuarial Data & Technology data engineering team, they will advance our implementation capabilities and help our team deliver solutions faster.

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 organizationto 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

Qualifications

• The ideal candidate has 1-2+ years of experience to 3-4+ years of experience of data/software engineering experience working with SQL, Python, and relational databases.
• Understanding and experience with dimensional data modeling (star schema)
• Familiarity with the MLOps framework
• Strong data manipulation skills for analytics
• Excellent critical thinking skills to tackle complex data challenges
• Strong organizational skills and very detail oriented
• Exceptional collaboration and relationship building skills
• Comfortable working in a fast paced, highly collaborative environment
• Ability to effectively communicate to different target audiences
• Resilient problem solving and critical thinking skills
• Flexibility - able to meet changing requirements and priorities

Additional Information

• BS in Computer Science, Information Technology degree, Data Analytics, Management Information Systems or equivalent