Our Employee Value Proposition

Advancing our People.

Advancing our World.

At CrimsonLogic, we put your Career and Well-being first.

We are committed to advancing your career through a full spectrum of professional Development programs with the support of a strong Total Rewards philosophy that focus on your well-being.

We believe that by investing in each and every one of our employees professional and personal growth, we can collectively make a positive impact on the world as we strive for greatness together in a nurturing and inclusive workplace.

Role Purpose(s):

Creating and maintaining data pipelines, data models; enhancing GDAP features and promoting data culture and data analytics competency

Key Accountabilities:

Ensure timely delivery of accurate and high-quality data to support business decision making.
Maintain and enhance the Global Data Analytics Platform (GDAP) to keep it reliable and relevant.
Oversee integration of global data sources into GDAP.
Ensure the design and integrity of Datawarehouse models and data pipelines.
Implement and uphold automated data quality controls.
Ensure compliance with PSA data governance policies, standards, and documentation requirements.
Support analytics teams throughout the CRISP DM lifecycle.
Contribute to building data culture through workshops and seminars.

Job Responsibilities & Duties:

Work with business units globally to set up their data analytics needs within GDAP
Enable the timely availability of good quality data to facilitate data-oriented management decisions
Work with new data sources from around the world to provide data to our Global Data Analytics Platform built on Azure Cloud
Implement automated Data Quality measures to sieve out bad quality data for timely rectifications by data sources
Design, construct and maintain Datawarehouse models to support global, regional and local business units data analytics needs.
Create and maintain data pipelines to transform and load data from data lake into Datawarehouse models
Create and maintain data science sandbox, machine learning tools, Databricks, data marts, data catalogue, data lineage, etc
Continuous enhancement of GDAP to keep the platform relevant and ready
Work and collaborate with the data analytics team at all stages of CRISP-DM Methodology
Align to data analytics policy, standards and best practices and document as required
Jointly organize data analytics workshops and data seminars to promote data culture and data analytics competency.

Key Job Competencies:

Business Insights
Stakeholder management
Manages complexity
Resilience
Customer focused
Interpersonal savvy

Education Requirements:

Degree from a recognized university, preferably in Data Analytics or Computer Science domain

Working Experience Requirements:

Must have at least two years hands-on experience as a Data Engineer including at least one year using Microsoft data tools
Must have knowledge of data warehouse concept (Star, snowflake or data vault) methodology and experience in designing data warehouse dimensional modelling
Must be able to work according to Singapore business hours to support collaboration with global and regional teams

Skills Required:

Must-have skills:

Azure data engineer
Azure Data Factory
Azure Synapse Analytics
Azure Analysis Services
Azure Databricks
Python
SQL
Must have hands-on experience in Azure Data Factory, Azure Synapse Analytics / Datawarehouse, Azure Analysis Services, Azure Databricks and Python

Preferable skills:

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate and / or Databricks including Databricks Certified Data Engineer Associate
Preferably with hands-on experience in using Azure HDInsight or Azure OpenAI or Azure AI Service
Knowledge of Microsoft Power Platform or R or .Net or C# or NoSQL or open-source data analytics software will be advantageous

Senior Software Engineer – Azure (1 Year FTC)