Job Openings Data Engineer III

About the job Data Engineer III

Position Title: Data Engineer III

Salary: 150,000 - 180,000 PHP monthly

Reports To: Client & Client Advisor

Primary Relationships: Client Team

Date: March 2023

Schedule: 9:00 PM to 6:00 AM PHT


Strategy & Planning

  • Develop and deliver long-term strategic goals for a trustworthy data platform vision and standards in conjunction with data users, department managers, clients, and other key stakeholders
  • Create short-term tactical solutions to achieve long-term objectives and an overall data management platform and roadmap
  • Utilize the trusted data platform to design and build supply-chain analytical models for forecasting, demand planning, inventory management, SKU assortment, and pricing
  • Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity
  • Establish methods and procedures for tracking data quality, completeness, timeliness, redundancy, and improvement
  • Establish methods and procedures for tracking, managing, and governing master data and reference data
  • Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks
  • Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving
  • Ensure that data strategies and architectures are in regulatory compliance

Acquisition & Deployment

  • Ensure the success of enterprise-level application rollouts (e.g. ERP, SCM, CRM, PLM, WMS, etc.) through the delivery of and management of trustworthy data
  • Liaise with vendors and service providers to select the products or services that best meet company goals

Operational Management

  • Develop and automate large scale, high-performance data processing systems (batch, micro-batch, streaming) to support business decisions using trustworthy data
  • Oversee the design of the enterprises data management framework, and the data pipelines to bring in, process, and create business value out of data
  • Design and develop scalable data sets, and data models for business intelligence, reporting, analytics and advanced analytics (machine learning, AI, statistics, etc.)
  • Assess and determine governance, stewardship, and frameworks for managing data across the organization
  • Develop and promote data management methodologies and standards
  • Select and implement the appropriate tools, software, applications, and systems to support data technology goals
  • Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality
  • Collaborate with project managers and business unit leaders for all projects involving enterprise data
  • Address data-related problems in regards to systems integration, compatibility, and multiple- platform integration
  • Act as a leader and advocate of data engineering and management, including coaching, training, and career development to staff
  • Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture
  • Document the data platform and environment in order to maintain a current and accurate view of the larger data picture
  • Identify and develop opportunities for data reuse, migration, or retirement


  • Bachelor's degree in computer science, mathematics, information systems, or related field
  • Certifications in data architecture or data engineering (e.g. Amazon, Google, Data Science Council of America) a plus
  • Knowledge of mathematical optimization for advanced analytics and machine learning a plus
  • 3-5 years of work experience as a data engineer, DBA, and software developer (preferably Python, but Java or .NET software ecosystems are acceptable)
  • Hands-on experience with data engineering, dataops, large-scale data modeling, and business requirements gathering/analysis
  • Direct experience in implementing data management processes, procedures, and decision support
  • Strong understanding of relational, object, and graph data structures, theories, principles, and practices
  • Strong familiarity with metadata management, master data management, reference data management and associated processes
  • Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools
  • Demonstrated expertise with repository creation, and data and information system life cycle methodologies
  • Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on
  • Strong understanding of devops, and CI/CD

  • Experience with database platforms, including Microsoft (Azure) SQL Server, PostgreSQL, Oracle or similar
  • Experience with cloud data warehouse platforms including Snowflake, BigQuery, Redshift, or similar
  • Understanding of web services, microservices and container-based orchestration
  • Excellent client/user interaction skills to determine requirements

  • Experience with data processing flowcharting techniques

  • Knowledge of applicable data privacy practices and laws

  • Strong written and oral communication skills

  • Strong presentation and interpersonal skills

  • Ability to present ideas in user-friendly language

COmpany Benefits:

  • SSS, Philhealth, Pag-Ibig

  • 13th Month Pay

  • HMO and Life Insurance (AVEGA)

  • Free Shuttle Service

  • CO League - Monthly Company Activities

  • CO Clubs

  • CO Amenities Swimming Pool, Clinic and Kids zone

  • CO Stars - Corporate Social Responsibility Involvement Scholarship Programs
  • CO Academy - Training and Development Programs

  • COolture Coach

  • CO Gears

  • Cool and Flexible Workplace

  • Other Performance and Attendance Based Rewards

  • Bereavement Leave

  • Paternity Leave

  • 7 days SOLO Parent Leave

  • Magna Carta Leave

  • Company Bank Loan