Data Engineer

Roles & Responsibilities

Job Purpose

The Data Engineer will be part of the team to develop operation & maintenance decision-support tools to enhance train reliability and maintenance efficiency. This position involves designing, developing, and maintaining data pipelines, APIs, and cloud infrastructure for various rail-oriented applications. The ideal candidate will have expertise in data analysis, transformation, ingestion, database design, API development, and preferably, cloud infrastructure setup. Collaborating closely with software engineers, data scientists, and frontend developers, the Data Engineer will contribute to building efficient, scalable, and reliable systems.

Responsibilities

The duties and responsibilities for Data Engineer, are as listed below. The list is not comprehensive and related duties and responsibilities may be assigned from time to time.

Data Engineering & Processing :

• Develop and maintain data pipelines for efficient data ingestion and transformation.
• Work with structured and unstructured data to ensure optimal storage and retrieval.
• Perform data analysis and report on results.

Database Design & Management :

API Development & Backend Engineering :

Cloud Infrastructure & Deployment (Supporting Role) :

Collaboration & Best Practices :

Qualifications & Work Experience

Skills

Technical skills include :

Generic skills include :

Tell employers what skills you have

Git

MongoDB

Scalability

Data Analysis

Azure

Pipelines

Mathematics

Reliability

Data Engineering

SQL

SQL Server

Python

Database Design

Docker

API

Databases