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Location: PLANO, TX (Onsite & local)
Hire Type: Contract

NOTE- Need 9+ Years candidate

Job Description

You will be responsible for designing flexible, scalable data models for a
hybrid cloud environment such as Azure and Teradata that supports data
ingestion/integration, data privacy, data quality and data governance for our
clients in the beverage industry.

 

Responsibilities: 


Understand enterprise data strategy, landscape and challenges across
on-prem and Azure cloud.
Collaborate with stakeholders, including business analysts, data
architects, and developers, to gather requirements and understand the
organization's data needs.
Design, develop, and maintain logical and physical data models using Erwin
based on business requirements and industry best practices.
Ensure the integrity, reliability, and performance of data models by
conducting thorough testing and validation.
Optimize and fine-tune data models to enhance data retrieval and processing
efficiency.
Provide guidance and support to development teams in implementing data
models within various applications and databases.
Collaborate with database administrators to ensure the proper
implementation and maintenance of data models across the organization's data
infrastructure.
Conduct data modeling reviews and participate in data governance activities
to ensure data quality and consistency.
Stay updated with the latest trends and advancements in data modeling
techniques, tools, and technologies, and recommend improvements to existing
processes. 

Skills Required:


8-10 years of hands-on experience with conceptual, logical and physical
dimensional data modeling.
Solid understanding of relational database concepts, data warehousing, and
dimensional modeling (star schema, snowflake schema).
Experience in translating business requirements into effective data models.
Proficiency in SQL and database query optimization techniques.
Excellent problem-solving skills with the ability to analyze complex
data-related issues.
Strong communication and interpersonal skills to effectively collaborate
with cross-functional teams.
Attention to detail and ability to manage multiple priorities in a
fast-paced environment.
General understanding of cloud file formats such as Parquet, JSON, AVRO, ORC
General understanding of compute environments such as Databricks or
integration architectures and tools such as Informatica, ADF.
General understanding of data model evolution, versioning
General understanding of reference and master data management, data quality
management, systems integration, and data cataloging.
Define standards & best practices for modeling and naming conventions.
Deliver well defined data dictionary and business glossary for data models.


Reference : Sr Data Modeler jobs

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Published at 10-08-2023
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