Data Architect/Modeler

Job Title: Data Architect/Modeler

Location: Chennai & Hyderabad

Experience: 5 to 6 Years

Must Skills: Data Lakes, Data Migration, Data Modelling, Erwin, CI/CD & Azure/AWS, ADF, ADLS, (largely Azure).

Job Reference ID:BT/F23/SG

Job Responsibilities:

➢ 5 years’ experience in designing and implementing data technology e.g., data bricks, HVR, MuleSoft etc.

➢ Experience with data modelling solutions, including tools, industry data models, data warehouse approaches, data modelling approaches (relational, dimensional, and NOSQL) or equivalent knowledge is required.

➢ Experience with data modelling tools such as ERWIN data modeler or equivalent knowledge is required.

➢ Define and apply standards, tools, best practices, and related development methodologies for data modelling and design.

➢ Creates, reviews, and updates data models.

➢ Perform preliminary analysis and collaborate with the project team and delivery team to develop a business solution.

➢ Gathering and analysing business requirements, as well as being able to translate business requirements into technical requirements.

➢ Carry out data analysis tasks to capture data requirements and represent them in data model visualization.

➢ Identify areas for improvement in the data model to improve business operations.

➢ Data extraction, analysis, interpretation, and pattern recognition from various tables and reports.

➢ Assess data quality and filter/clean data by reviewing the business rules or requirements.

Data Architect & Modelling:

➢ Experience in developing data flow diagram and data architecture for a specific biz e.g., sustainability, Downstream manufacturing, or New Energy.

➢ Experience with operational aspect of data management i.e., delivery & support.

➢ 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.

Salary:  Commensurate with experience and demonstrated competence Contact:


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