Data Engineer

Schneider Electric; Philippines; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

Schneider Electric is actively recruiting a data engineer to build robust data pipelines and contribute to the analytics infrastructure. You will help architect a scalable data platform and develop real-time apps ingesting large volumes of data.

The role requires experience in APIs, AWS cloud services, and BI tooling such as Tableau/PowerBI, with a strong emphasis on data modeling and architecture.

Qualifications

• BS degree in Computer Science/Computer Engineering required.
• Strong knowledge of algorithms and software architecture.
• Experience with data models, data mining, and segmentation techniques.
• Proficient in AWS services and data lake/warehouse concepts.
• Experience with APIs (REST & SOAP) and BI tools.

Responsibilities

• Discover, gather and address technical and design requirements.
• Architect data platform and develop real-time apps ingesting large data volumes.
• Manage data pipelines and contribute to data strategy execution.
• Build and manage data platform infrastructure from collection to processing and storage.
• Develop, customize and manage integration, monitoring tools, databases, warehouses and analytical systems.

Skills

Data modeling

Algorithms & architecture

API development

BI/data analytics

Education

BS in CS/CE

Tools

Tableau

PowerBI

ETL/ETL tooling

Job description

Job Description:

Schneider Electric is actively recruiting and interviewing for future position of a results-oriented Data Engineer who will be responsible for helping build our data pipelines and will be also participating in setting the right Infrastructure and developing the needed tools for our Analytics.

The role requires you to:

• Discover, gather and address technical and design requirements
• Help architect our data platform & develop real-time apps ingesting large volume of data
• Handles our data pipeline and contribute towards our data strategy and its execution
• Architecting, building, testing & managing our data platform infrastructure from data collection to data processing & data storage
• Develop, customize and manage integration tools, monitoring tools, databases, warehouses, and analytical systems

Job Qualification:

• BS degree in Computer Science/Computer Engineering
• Strong competencies in algorithms and software architecture
• Technical expertise with data models, data mining, and segmentation techniques
• Proficient in Amazon EMR to run Presto and Spark engine
• 3+ years of experience in developing APIs (REST & SOAP protocols)
• 3+ years of experience in using AWS cloud and its resources/services
• 3+ years experience of fullsoftware development lifecycle on BI projects and support experience
• Strong experience in Relational Databases (MySQL, SQL Server, PostgreSQL Oracle 12c, Exasol etc, Redshift) and non-relational databases
• Experience in the following components or similar: Informatica PowerCenter, PL, SQL, ODI
• Analytical Data modelling knowledge (DWH, Star Schema, Kimball etc)
• BI Tools: Tableau, Oracle Business Intelligence, Birst, PowerBI