Data Engineer

Company Description

Pilmico Foods Corporation is the integrated agribusiness and food company of Aboitiz Equity Ventures Inc. (AEV). Composed of four divisions: Flour, Feeds & Animal Health, Farms, and Trading, we are well positioned at the beginning of the value chain. True to our brand promise​ of being​ Partners for Growth, we nurture our business and communities by providing business solutions and building partnerships for growth.

We operate ​​in the Philippines nationwide ​and have a growing international presence in the following ASEAN countries: China, Vietnam, Thailand, Indonesia, Malaysia, Sri Lanka and Singapore.

Investing in talent and upholding Aboitiz ​values of Integrity, Teamwork, Innovation, and Responsibility are key drivers to sustaining the growth of our business.

Here at Pilmico, we value each talent for the unique contribution they bring to the organization. We recognize that today’s global workforce is made up of diverse individuals with different skills, abilities and aspirations that enable them to achieve superior results; as such, we select our partners based on these attributes that are not typically found in someone’s resume.

We are advocates of self-development and believe that people’s success lies in their passion to learn something new and different every day. This is why our hiring philosophy is to open up and give equal opportunity to any talent regardless of where they are today in pursuit of education.

Job Description

The Data Engineer is responsible for the maintenance, improvement, cleaning and manipulation of data in the business’ operational and analytics data sets stored in the data lake and other external data stores for the One Food Group. This role works with software engineers and data scientists in order to understand and assist in the implementation of data requirements according to data governance to analyze performance and troubleshoot existent issues. Within the SFIA profile, the Data Engineer for the One Food Group must demonstrate Level 4 responsibilities, i.e. Enable on the competencies outlined.

Technical strategy and planning

• Solution architecture
  • Contributes to the development of solution architectures in specific business, infrastructure or functional areas
• Data management
  • Takes responsibility for the accessibility, retrievability, security, quality, retention  and ethical handling of specific subsets of data
• Methods and tools
  • Provides advice and guidance to support adoption of methods and tools and adherence to policies and standards

Systems development

• Systems design
  • Designs components using appropriate modelling techniques following agreed architectures, design standards, patterns and methodology
• Software design
  • ​​​​​​​Designs software components and modules using appropriate modelling techniques following agreed software design standards, patterns and methodology
• Programming/software development
  • ​​​​​​​Designs, codes, verifies, tests, documents, amends and refactors complex programs/scripts and integration software services
• Data modelling and design
  • ​​​​​​​Investigates corporate data requirements, and applies data analysis, design, modelling, and quality assurance techniques, to establish, modify or maintain data structures and their associated components (entity descriptions, relationship descriptions, attribute definitions
• Database design
  • ​​​​​​​Develops appropriate physical database or data warehouse design elements, within set policies, to meet business change or development project data requirements
• Testing
  • ​​​​​​​Reviews requirements and specifications, and defines test conditions

Installation and integration

• Systems integration and build
  • Identifies, evaluates and manages the adoption of appropriate tools, techniques and processes (including automation and continuous integration) to create a robust integration framework
• Porting/software configuration
  • Configures software and equipment and tests platform-specific versions of one or more software products

Service design

• Availability management
  • Contributes to the availability management process and its operation and performs defined availability management tasks
• Service level management
  • Performs defined tasks to monitor service delivery against service level agreements and maintains records of relevant information

Service transition

• Service acceptance
  • Engages with project management to confirm that products developed meet the service acceptance criteria and are to the required standard
• Configuration management
  • Proposes and agrees the configuration items (CIs) to be uniquely identified with naming conventions
• Release and deployment
  • Assesses and analyses release components. Provides input to scheduling

Service operation

• Security administration
  • Investigates minor security breaches in accordance with established procedures
• Database administration
  • Uses database management system software and tools, and knowledge of logical database schemata, to investigate problems and collect performance statistics and create reports

Quality and conformance

• Quality assurance
  • Contributes to the collection of evidence and the conduct of formal audits or reviews of activities, processes, data, products or services
• Conformance review
  • Collects and collates evidence as part of a formally conducted and planned review of activities, processes, products or services

Qualifications

Educational Requirement:

• Bachelor degree in Applied Mathematics or Computer Science, or demonstrated capability through past employment experience and/or relevant qualifications.

Work Experience Required:

• Professional skills in computer operations, business systems and tools including Hadoop, Spark, R, Python, C/C++, SQL, PIG, AWS data lake components

• Specialized professional with substantial experience in a similar data science role

• Demonstrated commercial acumen with leadership experience in data science solutions in a large corporate organization  

• Strong analytical and consulting background  

• Intellectual curiosity which propels you to dive deep into the data to answer questions that are ground breaking  

• Proven record of accomplishment in being able to understand the key business problem being explained, source smart data and develop data models needed to add value

• Capacity to understand key algorithms and current studies available and apply them as applicable to the Food Manufacturing Industry (from which Pilmico operates on)

• Capability to leverage data science experience, machine learning, modelling, and advanced analytics skills to build data models  

Additional Information

REPORTS TO:  AVP, Data Science and Analytics