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Data Platform Engineer

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Job Description

Project Role : Data Platform Engineer

Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.

Must have skills : Databricks Unified Data Analytics Platform

Good to have skills : NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture.

Roles & Responsibilities:

  • Expected to perform independently and become an SME.
  • Required active participation/contribution in team discussions.
  • Contribute in providing solutions to work related problems.
  • Engage in continuous learning to stay updated with industry trends and technologies.
  • Assist in the documentation of data architecture and integration processes.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
  • Strong understanding of data integration techniques and methodologies.
  • Experience with cloud-based data solutions and architectures.
  • Familiarity with data modeling and database design principles.
  • Knowledge of data governance and data quality best practices.

Additional Information:

  • The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
  • This position is based at our Bengaluru office.
  • A 15 years full time education is required.




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About Company

Job ID: 152413789

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Bengaluru, India

Skills:

Data IntegrationData ModelingData GovernanceData AnalyticsAdvanced Data Visualization TechniquesSecurity best practicesData quality and consistencyLarge-scale data platforms

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