Data Engineering Lead

AIA Philippines; Makati; On-site; 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

At MediCard, we believe that diversity and inclusion are essential to fostering innovation, collaboration, and growth. We are committed to creating a workplace where everyone, regardless of gender, race, ethnicity, sexual orientation, disability, or any other characteristic, feels valued and empowered to contribute their unique perspectives and talents.

Our inclusive hiring practices ensure that we attract, hire, and retain the best talent from all backgrounds. We strive to provide equal opportunities for all candidates and promote a culture of respect, fairness, and transparency. We are dedicated to continuously improving our processes and policies to eliminate biases and barriers, ensuring that every employee has the support and resources they need to thrive.

A Data Engineer is a data professional who uses their expertise in data engineering and programming to build systems that collect, manage and convert raw data into usable information for business analysts.

Job 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
• Internal
• Collaborate with data scientists, business analysts, BI developers, and architects on several projects
• Familiarize and understand of key business processes, tools and metrics
• Ability to facilitate meetings and gather requirements from stakeholders
• Effectively and proactively communicates with stakeholders, team-members and other support teams to promote synergy
• Perform timely ad-hoc supports 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

Job Qualifications:

• Bachelor’s degree in related field.
• At least 5 to 10 years’ previous experience as a data engineer or in a 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
• Degree in Computer Science, IT, or similar field; a Master’s is a plus
• Data engineering certification (e.g IBM Certified Data Engineer) is a plus
• Experience/Knowledge in using Salesforce, Sap, Oracle, Genesys is a plus
• Ability to perform analysis, formulated conclusions and recommend actions.
• Excellent verbal and written communication skills. Fluency in English required.
• Ability to communicate and work with cross-functional teams and cross-country stakeholders is a must.
• Strong organizational skills
• Experience with project management is a plus
• Highly motivated and eager to learn new applications and/or tools
• Displays a positive and team first attitude
• Continuously seeks ways to enhance contribution to those they support
• Supports hybrid work model. Work at Home and Work at On-Site.
• Must be able to juggle many multiple projects simultaneously.

Technical Skills:

• Apache Spark Proficiency
• Delta Lake Expertise
• Programming Languages
• SQL and Database Management
• Cloud Platform Knowledge
• Data Warehousing & Modeling
• Soft Skills & Other Capabilities
• Certifications (e.g., Databricks Certified Data Engineer Associate or Professional) are a strong plus

Work Location: AIA Head Office, Makati City

Work Set-Up: Hybrid, 3-4 days onsite per week

For your appreciation, these are some of the benefits that we are offering.

• Guaranteed 14th-month pay
• Annual Performance Bonus (Subject to both company and individual performance)
• Retirement Plan
• HMO with free 2 dependents (upon hire for Principal and upon regularization for the eligible dependents)
• 15 days VL and 15 days SL (Pro-rated for mid-year hire)
• Group Life Insurance
• Protection benefits, and a lot more w/c will be discussed during the job offer stage.