Data Modeler

Found in: Whatjobs IN C2 - 3 weeks ago

HyderabadChennai, India Spectrum Consulting Full time

Job Responsibilities :

- 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

Qualifications :

- At least 4-5 years of data Modelling 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.

Data Mapping & Modelling :

- 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 Modelling 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 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.

(ref:hirist.tech)

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