Data Modeler

2 weeks ago


Bengaluru, India PAL TALENT SERVICES Full time

Job Title : Data ModellerLocation : BangaloreExperience : 5 to 10 yearsEducation : Relevant degree with certificationsRoles & Responsibilities :- Responsible for the design and creation of standard and benchmark data models using Layered scalable Architecture principles / Medallion Architecture in the Data Architecture domain to deliver the Data Marts across all Businesses with the highest data quality.- This includes complexities like Business Data, External Data, high volume, complex structure, performance and costs from systems such as PoS, ERPs, CRM, etc.- Translate business requirements into normalized and analytical schemas (Star/Snowflake)- Define and maintain entity relationships, hierarchy levels (Customer - Account - MSISDN), and attribute lineage- Standardize attribute definitions across systems and simplify legacy structures- Collaborate with engineering teams to implement models in cloud data platforms (e.g., Databricks)- Collaborate with domain stewards to simplify and standardize legacy data structures- Work with governance teams to tag attributes for privacy, compliance, and data quality- Document metadata, lineage, and maintain version control of data models- Support analytics, reporting, and machine learning teams by enabling standardized data access- Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based Requirements :- Data Modelling tools, preferably ERWin, tools such as ER Studio, RedShift and MS SQL on the AWS platform with DevOps is mandatory.- Strong SQL and Enterprise Experience in Data Warehousing are a must.- Candidate should have strong communication skills and should be able to work independently by interacting with various teams (Business Analysts, ETL, Tableau, etc.- Desirable experiences are tools such as Tableau, Power BI, etc.- ETL tools such as AWS glue, Python programming, Databricks, Predictive Analytics, etc. - An understanding of business requirements and translating them to visual output is required. (ref:hirist.tech)


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