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Position Details: Data Architect / Solution Architect (JOB CODE - 228)

Location: Chennai, Tamil Nadu
Openings: 1
Salary Range:

Description:

Role: Sr.Data Modeler cum Data Architect

Location: Chennai/Bangalore/Hyderabad

Analyzing existing data sources

  • Expert understanding of data models and various 1 to many, many to many and other patterns, normalization and denormalization patterns and purposes
  • Profile data sources to reverse engineer data model and relationships between tables, identify key fields, and infer meaning of attributes
  • Meet with system owners to tie observations of data patterns with business processes and use cases that lead to those patterns
  • Conduct root cause analysis (RCA) to identify underlying issues and drive effective solutions.
  • Perform frequency distribution analysis to identify patterns and trends in the data.

Architecting data strategy for Future State

  • Profile the data sources to identify anomalies, inconsistencies, and data quality issues.
  • Take ownership of the data, ensuring accuracy, completeness, and reliability.
  • Develop target data model that provides optimal long term functional opportunities
  • Design the right change data capture, audit strategy
  • Identify where reference tables are necessary
  • Design mapping tables / helper tables to support configurable ETL

 

General Attributes

  • Advanced sql skills, familiarity with a variety of DB technologies (orable, sql server, etc)
  • Comfortable with AWS environment and databricks
  • Experience with ETL
  • Demonstrate curiosity and a relentless pursuit of understanding complex datasets.
  • Engage with various stakeholders, including clinicians, researchers, data scientists, and IT professionals, to gather requirements and ensure alignment.
  • Communicate effectively with stakeholders at all levels, translating technical concepts into clear and actionable insights.
  • Lead deep data analysis initiatives to extract meaningful insights and drive data-driven decision-making.
  • Collaborate with cross-functional teams to develop and implement data models and solutions that meet business objectives.

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