SQL Data Engineer

16 hours ago

Makati City, National Capital Region, Philippines UPTC Full time ₱900,000 - ₱1,200,000 per year

Qualifications

  • With 3 to 4 years of experience supports designing, building, and maintaining data systems that handle data collection, storage, and processing (both batch and real-time). To create efficient, secure, and scalable solutions to turn data into insights. Develop, test, and implement data tools within the company's infrastructure, working with large datasets to analyze and visualize information across multiple platforms.
  • Must be proficient in using SQL databases, scripting, and programming languages used by their organization, and understand the deployment platforms for about 3 to 4 years.
  • Passionate about data, focus on understanding business needs and solving problems through well-organized and interconnected data systems.
  • Can Start ASAP.

Functional Skills and Competencies (3 to 4 years - Non Negotiables)

  • Agile Software Development
  • Applications Development
  • Applications Integration
  • Artificial Intelligence Ethics and Governance
  • Business Needs Analysis
  • Change Management
  • Cloud Computing
  • Configuration Tracking– Beginner
  • Continuous Integration and Continuous Deployment
  • Cyber and Data Breach Incident Management
  • Data Design
  • Data Engineering
  • Data Ethics
  • Data Migration
  • Data Visualisation
  • Database Administration
  • Design Thinking Practice
  • Security Architecture
  • Software Configuration
  • Software Design
  • Software Testing
  • Stakeholder Management
  • System Integration
  • Test Planning

Job Description

Critical Work Functions & Key Taks

  • Develop tools to improve data flows between internal and/or external systems and the data warehouse
  • Test data system configurations to increase efficiency
  • Automate the data collection and analysis processes, data releasing and reporting tools
  • Assist in the integration of data systems with existing infrastructure
  • Determine technical system requirements based on data needs
  • Identify suitable data structures based on business needs to ensure availability and accessibility of data
  • Keep abreast of latest technologies and products in database and data processing software, and technologies
  • Develop backup data archiving systems to ensure system continuity
  • Consolidate and create data storage solutions for storage and retrieval of information
  • Support the handling and logging of errors
  • Develop codes and scripts to process structured and unstructured data in real-time from a variety of data sources
  • Monitor data system performance
  • Implement and monitor data security and privacy measures on existing data solutions
  • Assist in building scalable data pipelines to extract, transform, load and integrate data
  • Test data pipelines for scalability and reliability to process high data volume, variety and velocity
  • Develop prototypes and Proof-of-Concepts for data solutions

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