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Data Modeler

Hyderabad, Andhra Pradesh, India
Posted on: 25-01-2025
Job description
Minimum 10 years experience in design, architecture or development in Analytics and Data Warehousing
Have experience in solution design, solution governance and implementing end-to-end Big Data solutions using Hadoop eco-systems (Hive, HDFS, Pig, HBase, Flume, Kafka, Sqoop, YARN, Impala)
Possess ability to produce semantic, conceptual, logical and physical data models using data modelling techniques such as Data Vault, Dimensional Modelling, 3NF, etc.
Has the ability to design data warehousing and enterprise analytics-based solutions using Teradata or relevant data platforms
Can demonstrate expertise in design patterns (FSLDM, IBM IFW DW) and data modelling frameworks including dimensional, star and non-dimensional schemas
Possess commendable experience in consistently driving cost effective and technologically feasible solutions, while steering solution decisions across the group, to meet both operational and strategic goals is essential.
Are adept with abilities to positively influence the adoption of new products, solutions and processes, to align with the existing Information Architectural design would be desirable
Have Analytics & Data/BI Architecture appreciation and broad experience across all technology disciplines, including project management, IT strategy development and business process, information, application and business process.
Have extensive experience with Teradata data warehouses and Big Data platforms on both On-Prim and Cloud platform.
Extensive experience in large enterprise environments handling large volume of datasets with High Service Level Agreement(s) across various business functions/ units.
Have experience leading discussions and presentations. Experience in driving decisions across groups of stakeholders.

 Key job details

Primary Location
Hyderabad, Andhra Pradesh, India
Job Type
Experienced
Primary Skills
Data Modelling for Analytical (OLAP)
Years of Experience
10
Travel
No
Job Posting
24/01/2025

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