Posted:23 hours ago| Platform: Linkedin logo

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Remote

Job Type

Full Time

Job Description

Company Description


EZData Advisory is a consultancy specializing in data engineering and analytics, offering modern solutions tailored for diverse industries. The company provides certified data experts to ensure reliable and prompt project delivery without ramp-up time. Our services include aligning data strategies with long-term organizational goals, ensuring secure, scalable, and insight-driven outcomes. Additionally, EZData delivers custom pre-built data solutions designed to save time and fit seamlessly with your unique tech stack. Throughout every project, we prioritize efficiency, transparency, and measurable results.

Role Description


Experience:

 

Location:

 

Shift Timings

 

BGV:

 

Description:

5+ years of experience with Data Modeling, particularly Dimensional modeling, to support our industrial data initiatives. The ideal candidate will play a key role in designing scalable data models, collaborating with cross-functional teams, and driving data architecture best practices across CCEP domains.

 

Key Responsibilities:

 

· Participate in Requirement workshops/ Backlog refinement workshop to understand data requirements for the project.

 

· Build and maintain conceptual, logical, and physical data models using industry-standard tools (e.g., ER/Studio, Erwin).

 

· Collaborate closely with Data Analysts, Data Stewards and the Data Governance team to ensure alignment of data models with business requirements and governance standards.

 

· Translate business requirements into scalable data architecture solutions that support real-time and historical analytics.

 

Mandatory Skills & Experience:

 

• 3+ years of experience in Data architecture, Data modeling and Data analysis skills.

 

• Familiarity with Dimensional data modelling, Kimball modeling techniques and data warehouse design.

 

• Experience in SQL for data transformation, automation, and querying.

 

• Familiarity with ETL/ELT processes,

 

• Familiarity with Data lakes and Lakehouse architecture

 

• Familiarity with data integration tools, and data pipeline orchestration.

 

• Strong communication and stakeholder management skills, with the ability to work in agile teams and participate in sprint ceremonies.

 

• Experience with Azure Databricks, Azure Data Lake, and related cloud- solutions is desirable.

 

• Exposure to SAP ERP data is desirable

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