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

Responsibility:

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
  

Qualifications:

• 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