Data Modeler

5 days ago

Singapore INCOME INSURANCE LIMITED Full time

**Description**
- Strong functional knowledge of Insurance products and business processes
- Strong knowledge & experience of mapping attributes, profiling from various composite business source system and channels
- Problem solving & analytical skills with the ability to collect, organize, analyse, and disseminate significant amount of information with attention to detail and accuracy
- Good communication and interpersonal skills - Ability to engage multiple stake holders across the business operation & technology teams
- Implementing large scale projects involving agile methodology

**Data Mapping & Modeling**
- Strong experience in building data model based on industry-based accord standards, preferably Insurance Domain
- Strong experience in mapping attributes, data profiling, data cleansing, and technical data quality etc.
- Strong experience in Ansi SQL and in-depth knowledge with structured, semi-structured & unstructured data
- Strong experience on Star Schema, Snowflake, Data Vault & Domain based data models & should have clear understanding on the levels of data normalization, de-normalization etc.
- Experience in data Modeling tools such as Erwin, ER/Toad Studio or equivalent

**Data Warehousing and Big Data Tools**
- Must have good knowledge of data lake and working experience of migration projects in cloud with providers like AWS or AZURE or GCP
- Good to have experience in working with No SQL, Spark SQL using AWS Glue, and columnar data store
- Good to understand data security features like data masking, data encryption, role based & fine grain access control mechanisms etc.

**BI Tools**
- Working knowledge on how BI tools integrate with enterprise-wide Curated Data Mart and Data Lake using Tableau, Power BI

**Data Analysis**
- Formulate reconciliation strategies between various source systems to destination systems on cloud and driving the data quality rules for Data Ops
- Formulate technical data quality and remediation strategies for various source systems based on column level profiling
- Formulate functional data quality and remediation strategies by driving discussions with source systems data owners and custodians

**Data Governance & Catalogue**
- Knowledge of data governance tools preferably Alation, Informatica AXON is an added advantage
- Knowledge of data catalogue tools preferably AWS Glue catalogue, Informatica EDC, Alation is an added advantage
- Knowledge of data quality tools preferably AWS Data Brew, Informatica Data Quality is an added advantage

**Qualifications**
- At least 2-3 years of data Modeling and profiling experience
- Experience in working on cloud migration, business glossary and catalogue will be highly preferred
- Bachelor’s Degree in computer science, IT or equivalent

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