HCLTech | Data Modeler | bangalore

6 days ago


bangalore, India HCLTech Full time

Data Modeler Responsibilities & Duties

• Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL)

• Design and implement data models to meet the organizational needs.

• Develop conceptual, logical, and physical data models.

• Collaborate with business analysts and stakeholders to gather and analyze requirements.

• Ensure data integrity, stability, and security across databases.

• Establish and enforce data modeling standards and best practices.

• Create and maintain metadata management and data governance.

• Optimize and tune data models for performance.

• Conduct data model reviews and provide feedback for improvement.

• Document and communicate data models and their specifications.

• Use data modeling tools and software for model creation and management.

• Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices.


Data Modeler Qualifications & Skills

• Experience with data modeling tools such as ER/Studio, ERwin, or PowerDesigner.

• Implementing ETL pipelines within and outside of a data warehouse using Python and Snowflakes Snow SQL

• Querying Snowflake using SQL.

• Development of scripts using Unix, Python, etc. for loading, extracting, and transforming data.

• Strong knowledge of SQL and database management systems like Oracle, SQL Server, or MySQL.

• Experience with big data technologies like Hadoop or Spark.

• Familiarity with cloud-based data services such as AWS or Azure.

• Background in data governance and data quality concepts.

• Experience in Agile or Scrum environments.

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• Proficiency in data modeling techniques and methodologies.

• Strong understanding of database principles and data modeling standards.

• Experience in designing and implementing complex data models.

• Knowledge of ETL processes and data integration.

• Attention to detail and commitment to data accuracy.

• Ability to translate business requirements into data models.

• Capability to work independently and in a team environment.



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