Data Engineering Lead — Hybrid, Cloud & Data Quality

AIA Philippines; Makati; Hybrid; PHP 900,000 - 1,800,000; Full time

Benefits offered by this job

Guaranteed 14th-month pay

Annual Performance Bonus

Retirement Plan

HMO with 2 dependents

15 days VL and 15 days SL

Group Life Insurance

Protection benefits

Job summary

MediCard is seeking an experienced Data Engineer to design and operate data systems that collect, manage, and transform raw data for business insights.

You will build data pipelines, collaborate with data scientists and analysts, and help improve data quality across multiple sources in a hybrid work setting located in Makati. Fluency in English and strong programming skills are required.

Qualifications

• Bachelor’s degree in related field.
• At least 5 to 10 years’ experience as a data engineer or similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Knowledge of programming languages (e.g. Java and Python).
• Advanced hands-on experience with SQL database design and Databricks.
• Advanced experience in using Azure Cloud Databases.
• Great numerical and analytical skills.

Responsibilities

• Analyze and organize raw data.
• Build data systems and pipelines.
• Evaluate business needs and objectives.
• Interpret trends and patterns.
• Conduct complex data analysis and report on results.
• Prepare data for prescriptive and predictive modeling.
• Build algorithms and prototypes.
• Combine raw information from different sources.
• Explore ways to enhance data quality and reliability.
• Identify opportunities for data acquisition.
• Collaborate with data scientists, business analysts, BI developers, and architects on several projects.
• Familiarize and understand key business processes, tools and metrics.
• Ability to facilitate meetings and gather requirements from stakeholders.
• Communicate with stakeholders and teams to promote synergy.
• Perform timely ad-hoc support requests in support of business needs, escalations and/or process improvement initiatives.
• Manage end-to-end data-related requests completion in a timely manner.
• Create detailed process-flow and/or documentations for all requests/projects handled.
• Identify and drive internal needs for improvements with the way we deliver our projects and the way we work.

Skills

Apache Spark

Delta Lake

Programming Languages

SQL & DB Management

Cloud Platforms

Data Warehousing

Soft Skills

Databricks Certification

Education

Bachelor’s degree in related field

CS/IT degree or similar

Master’s degree a plus

Data engineering certification (IBM)

Tools

Salesforce

SAP

Oracle

Genesys

Job description

MediCard is seeking an experienced Data Engineer to design and operate data systems that collect, manage, and transform raw data for business insights.

You will build data pipelines, collaborate with data scientists and analysts, and help improve data quality across multiple sources in a hybrid work setting located in Makati. Fluency in English and strong programming skills are required.