GCP Senior Data Lead

Job Summary

In this role, you will support the Data Engineering team at Prudential Singapore in modelling the Standardized Data Model , single view of customer Models.

You will prepare the data models aligning with the PACS DAWG standards for any new Projects that may need a change to the standard data Model.

You will also be working on the NoSQL data modelling for the Single View Of Customer requirements in PACS.

You will be required to Maintain the Data Dictionary on both Standardized Data Model as well as the Single View of Customer Models.

Also required to maintain the different versions of the Standardized Data Model, Documentation, Data Dictionary Maintenance.

Key Responsibilities

Job Description:

• Work with Senior Data Modeler in preparing the model changes for new requirements.

• Preparing the new Entities, Relationships, establishing Cardinalities based on the inputs from the Senior Data Modeler.

• Visualizing the Data Model for the Changes, Impact Analysis study on the Existing entities before implementing the new Changes into the Standard Data Model.

• Establishing/Identifying the partition keys for new entities in Single View of Customer models.

• Maintaining the versions of the models, data dictionary.

• Ensuring regular cadence with Senior Data Modeler in PACS for the Model, Mapping Changes.

• Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.

• Ensure dependencies and challenges (risks) are escalated and managed.

• Ensure timelines (milestones, decisions and delivery) are managed and value of initiative is achieved, without compromising quality and within budget.

• Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery, both internal and external.

Skill Requirements

Who we are looking for:

Competencies & Personal Traits:

• Work as a team player

• Excellent problem analysis skills

• Experience in Erwin Data Modelling Tool.

• Experience Life/Group Insurance Domain will be added advantage.

• Knowledge of NOSQL databases.

Good to have Knowledge in Cosmos DB:

• Knowledge of Data modelling and Data mapping.

Working Experience:

• 6+ years of broad experience of working with Enterprise IT applications in cloud platform and big data environments.

Professional Qualifications:

• Certifications in Insurance Practice would be an added advantage

Education:

• Master/bachelor’s degree in STEM (Science, Technology, Engineering, Mathematics)

Language

• Fluency in written and spoken English

Other Requirements

1.Relevant certifications in Google Big Query, SQL, Python, Google dataflow, or CA Erwin Data Modeler are a plus.