Data Engineer Manufacturing Data Services

Aumovio SE; Taguig; On-site; PHP 800,000 - 1,200,000; Full time

Job summary

Aumovio SE is looking for a Data Engineer to collaborate in developing its Manufacturing Data Lake hosted in the cloud. This role includes responsibilities such as optimizing data services, testing software components, and providing guidance to platform users. Required qualifications include experience with AWS data services, SQL, and software development skills in Python, Angular, or C#. Good English communication skills are essential. Join the team in Metro Manila to contribute to data-driven solutions.

Qualifications

• Demonstrated experiences in AWS data service.
• Experiences using SQL or comparable query languages.
• Knowledge in relational databases.
• Experiences using modern data platform principles.
• Skills in CI/CD pipelines.
• Experience in software development (Python, Angular, C#).
• Good English skills in writing and speaking.

Responsibilities

• Develop and operate cloud-based Manufacturing Data Lake.
• Participate in DevOps and SAFe-agile team.
• Design new technical developments for optimization.
• Provide guidance and share knowledge with users.
• Test and release software components using CI/CD.
• Consult customers for efficient platform usage.

Skills

AWS data service (Neptune, Athena, S3, RDS, EC2, ECS, Lambda)

SQL or comparable query languages

Relational databases

Modern data platform principles

CI/CD pipelines

Software development (Python, Angular, C#)

Good English skills

Job description

Job Description

TheData Engineer for Manufacturing Data Servicescollaborates with colleagues to develop and operate ourManufacturing Data Lake (MDL)hosted in the cloud. We manage data pipelines from the plants' MES-OLTP Oracle databases located in local data centers, performing additional data engineering tasks to provide the data in our MDL. In addition to utilizing native cloud services, we are currently exploring the implementation of a data intelligence platform to enhance our offerings. All tasks are executed in accordance with company guidelines, the SAFe @ MA roles within the agile MDL team, and under the functional leadership of the Head of Manufacturing Platform.

Principal accountabilities

1. Works globally at the development and operations of our cloud – based Manufacturing Data Lake and Manufacturing Data Services.
2. Part of the service (DevOps) – team / SAFe-agile – team “MDL”.
3. Designs and adopts new technical developments for possible optimization of the solutions
4. Develops and rolls out ongoing optimization of our implementation with respect to cost/benefit
5. Provides guidance to and share knowledge with platform users relating to the area of specialization.
6. Tests and releases software components (doing or coordinating) by using CI/CD pipelines.
7. Supports Incident Management (3rd level support) partly together with external service provider.
8. Consults our customers to enable them to use our platform (data structures, APIs, applications, etc.) in an efficient way.
9. Collaborates with IT CC’s, central functions, and/or Business Areas to develop standard solutions.

Supports continuous technology market screening and optimizations of the platform.

Qualifications

Required qualifications

• Demonstrated experiences in AWS data service like Neptune, Athena, S3, RDS (Oracle), EC2, ECS and Lambda (Serverless)
• Demonstrated experiences in using SQL or comparable query languages
• Experiences and knowledge in relational databases
• Experiences using modern data platform principles
• Experiences in the usage of CI / CD – pipelines
• Experiences in software development (Python, Angular, C# or comparable)
• Self-dependent and team-minded
• Good English skills in writing and speaking.

Optional qualifications

• Demonstrated knowledge of data engineering tasks
• Knowledge about agile frameworks and methods (e.g. SAFe)
• Knowledge about Full stack development for solutions providing insight from MDL
• Optional knowledge about Manufacturing processes