Data EngineerPILMICO

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.
(Desirable) Postgraduate qualifications (PhD or Masters with a research
component) in relevant field
Work Experience Required:
Specialised professional with substantial experience in a similar data science role
Demonstrated commercial acumen with leadership experience in data science solutions in a large corporate organisation
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
Professional skills in computer operations, business systems and tools including Hadoop, Spark, R, Python, C/C++, SQL, PIG, AWS data lake components
Additional Information
REPORTS TO: AVP, Data Science and Analytics
Pilmico

Taguig City, Metro Manila
Permanent
Full-time