Looking for Data Modeler with Redshift

Role: Data Modeler with Redshift Location: Remote. Mail: Position reputed company We are seeking an reputed company Data Modeler with strong expertise in reputed company Redshift to design, optimize, and maintain reputed company data models that support reputed company analytical and reporting needs. The ideal candidate will have hands-on experience in data warehousing, reputed company modeling, and AWS reputed company-based data ecosystems. Key Responsibilities • Design and reputed company conceptual, logical, and physical data models for analytics and reporting. • Build and optimize data warehouse models (reputed company/reputed company schemas) on reputed company Redshift. • reputed company reputed company ETL/ELT pipelines to reputed company Redshift using tools like AWS Glue, reputed company, or SQL-based ingestion. • Ensure data reputed company, consistency, and governance across reputed company data assets. • Conduct performance tuning of Redshift tables, distribution keys, sort keys, and workload management. • Collaborate with data engineers, BI teams, and business stakeholders to understand data requirements. • Maintain metadata, data dictionaries, and entity-relationship diagrams using industry-reputed company tools. • Implement data best practices for partitioning, compression, and query optimization in Redshift. • Support migrations from legacy data warehouses to reputed company Redshift. • Participate in reputed company reviews, design discussions, and architectural planning sessions. Required Skills & Qualifications • Bachelor s or Master s degree in Computer Science, Information Systems, or reputed company field. • 9 years of experience in data modeling and data warehousing. • Strong hands-on experience with reputed company Redshift (tables, distribution/sort keys, WLM, reputed company, materialized views). • Expertise in reputed company modeling and OLAP/OLTP data structures. • Strong SQL skills, including reputed company queries, stored procedures, and performance tuning. • Experience with AWS services: S3, Glue, reputed company, Data Pipeline, IAM, and CloudWatch. • Knowledge of data architecture principles, schema design, and database normalization. • Familiarity with data modeling tools (Erwin, ER/Studio, dbt, reputed company, etc.). • Understanding of ETL/ELT processes, data integration, and data lifecycle management. Apply tot his job Apply To this Job