Data Engineer

DELTA SG CONSULTING; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

DELTA SG CONSULTING is seeking a data engineering professional to design and implement data lakes and warehouses, leveraging Microsoft Fabric or Azure Data Factory, and Informatica Cloud IDMC. You will work on Azure data services, Python/pyspark scripting, and data modelling for transactional and analytical systems, with client-facing responsibilities and strong communication skills.

The role requires 3–5 years of relevant experience, a client-oriented mindset, and a systematic problem-solving

Qualifications

• Degree in Computer Science, Engineering and/or Master in Data Engineering /Mathematics, Computational Finance
• 3 to 5 years of relevant functional/technical experience
• Working experience in client support and implementation of data engineering solutions
• An action-oriented personality
• Keen client orientation
• Systematic problem solver with critical thinking abilities
• Strong presenter and effective communicator
• Collaborative team

Responsibilities

• End-to-end development of data lakes and data warehouses
• Collaborate with clients on data engineering solutions
• Participate in data modelling and performance tuning
• Provide clear demos and presentations to stakeholders

Skills

Data engineering

Azure data services

Python

Pyspark

Data modelling

Database design

Querying and tuning

Master data management

Big data

DataSecOps

Education

Degree in Computer Science / Engineering

Tools

Microsoft Fabric

Azure Data Factory

IDMC Informatica Cloud

Job description

Job Description:

• Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Microsoft Fabric or Azure Data Factory (ADF) and/or IDMC ( Informatica Cloud )
• Strong working experience in Azure Data services, preferably Microsoft Fabric.
• Strong scripting knowledge on python / pyspark
• Strong data modelling and database design working experience for transactional and analytical systems.
• Strong database working experience, including querying and tuning large, complex data sets and performance analysis
• Working experience in master data management, preferably in customer domains.
• Working experience in big data and DataSecOps is an added advantage.

Requirements:

• Degree in Computer Science, Engineering and/or Master in Data Engineering /Mathematics, Computational Finance
• 3 to 5 years of relevant functional/technical experience.
• Working experience in client support and implementation of data engineering solutions
• An action-oriented personality
• Keen client orientation
• Systematic problem solver with critical thinking abilities
• Strong presenter and effective communicator
• Collaborative team