Data Engineer

Taguig

RESPONSIBILITIES:

  • Design, develop, and maintain robust data pipelines for ingesting, processing, and transforming data from various sources into usable formats.
  • Architect and manage our data lake, ensuring it serves as a central repository for structured and unstructured data, supporting analytics and data exploration.
  • Implement and manage data warehousing solutions for structured data. Ensure data is organized, indexed, and accessible for analytics.
  • Create and manage data models and schemas to support data storage and retrieval needs. Optimize data structures for performance and scalability.
  • Develop and maintain ETL processes to ensure data quality, consistency, and accuracy. Transform and clean data as needed for downstream consumption.
  • Collaborate with cross-functional teams to integrate data from diverse sources, including databases, APIs, external systems, and data lakes.
  • Establish and enforce data quality standards and practices. Implement data validation and error handling mechanisms.
  • Monitor and optimize data pipelines, data lakes, data warehouses, and databases for performance, scalability, and efficiency.
  • Implement data security and access control measures to protect sensitive data.
  • Maintain clear and comprehensive documentation of data processes, pipelines, and infrastructure.

REQUIREMENTS:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • Proven experience as a Data Engineer or similar role, with expertise in data pipeline development, data modeling, data lake management, and data warehouse management.
  • Proficiency in data engineering technologies and tools, including ETL frameworks, data warehousing solutions, and database management systems.
  • Strong programming skills in relevant languages.
  • Experience with data orchestration and workflow management tools
  • Familiarity with cloud platforms and containerization technologies.
  • Knowledge of data governance and compliance standards.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Excellent communication skills.

OTHER KEY CONSIDERATIONS

  • Adept at SCRUM/Agile methodologies and environment
  • Highly organized and able to work in a fast-paced environment.
  • Able & willing to learn new tools, software, and processes.
  • Able to take direction, listen to the needs of business managers, and interpret their needs into technical instructions.
  • Effective working on teams, within, and outside of function.
  • Able to work under pressure.

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