Azure Data Engineer: Pipelines & Analytics Specialist

Intellect Minds Pte Ltd; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Intellect Minds Pte Ltd is seeking a data engineering professional with strong Azure experience to design and implement end-to-end data solutions in the Azure ecosystem.

The role requires hands-on work with Data Factory, Synapse Analytics, and data warehousing concepts, along with data quality and governance practices. Proficiency in Python and DAX is expected, with strong communication to bridge business and technical teams.

Qualifications

• Minimum 3 years of relevant experience in business understanding, requirements, and processes.
• Hands-on Azure Data Engineering experience with Data Factory and Synapse Analytics.
• Experience in data ingestion, modelling, and data quality validation.
• Knowledge of Azure Databricks and data modelling in Analysis Services.
• Proficient in writing DAX measures and Python coding.

Responsibilities

• Gather and analyze business requirements and translate them to data solutions.
• Implement data ingestion and modelling pipelines using Azure services.
• Ensure data quality and harmonization across datasets.
• Collaborate with business and technical users to deliver solutions.
• Utilize Python for data processing and analytics; apply DAX as needed.

Skills

Business requirements analysis

Business process understanding

Effective communication with business/

Python coding

Microsoft Office proficiency

Azure Data engineering

Azure Databricks

DAX query

Data modelling (star/snowflake)

Tools

Azure Data Factory

Azure Synapse Analytics

Azure Datawarehouse

Azure Analysis Services

Job description

Intellect Minds Pte Ltd is seeking a data engineering professional with strong Azure experience to design and implement end-to-end data solutions in the Azure ecosystem.

The role requires hands-on work with Data Factory, Synapse Analytics, and data warehousing concepts, along with data quality and governance practices. Proficiency in Python and DAX is expected, with strong communication to bridge business and technical teams.