Data Engineer

2 weeks ago

Taguig, National Capital Region, Philippines YONDU INC. Full time ₱900,000 - ₱1,200,000 per year

Critical Work Functions & Key Taks

Optimise solution performance

 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

Identify business needs

 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

Build and maintain data pipeline

 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

REQUIREMENTS:

 Develop prototypes and Proof-of-Concepts for data solutions

With 1-3 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 skilled in databases, scripting, and programming languages used by their organization, and

understand the deployment platforms. Passionate about data, focus on understanding

business needs and solving problems through well-organized and interconnected data

systems.

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