Data Modeler

4 weeks ago

chennai, India Pi One Technologies (π 1) Full time

Location: Chennai & Hyderabad

Experience: 4 to 5 Years

Domain Experience: Banking 


Job 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 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 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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