Data Modeler
2 months ago
**Job Title: Data Modeler**
**Location: Chennai**
**Experience: 8 - 10 Years**
**Primary Skills: Data Modeling,AWS,data lake,AZURE,data migration,SQL**
**Secondary Skills:
**Must Skills: Data Lake, Data Migration, Data Modelling, SQL & AWS/Azure.**
**Domain Experience: Banking**
**Roles And Responsibilities**:
**Responsibilities**:
- Strong functional knowledge of Domain knowledge on Banking 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 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 Domain knowledge on Banking 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.
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