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Dhanu Global Enterprises, Inc.

Business Intelligence and Data Modelling.

Pay: $50–$60/hr
Posted: 1 week ago
Location: Dallas, TX (Onsite)
Last Updated: 5 days ago
Hours: Full-Time
Expires: 11/2/2026
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Job Description

Business Intelligence and Data Modelling. Dhanu Global Enterprises, Inc. Dallas, TX Job Details Contract $50 - $60 an hour 13 hours ago Qualifications Data model design Commercial use (data warehousing systems) Performance tuning Cloud analytics services Databricks Data visualization software proficiency Data Integration (Data management) Data quality assurance System performance optimization Business intelligence report generation Scalable systems Schema design Snowflake SQL Data quality management Technical solutions implementation Data Architecture Design (Architecture design skills) ETL process automation Business intelligence tools Cloud database architecture Requirements analysis Scalability Business requirements Data performance optimization Technical architecture Design (software development lifecycle) Data analytics technologies Dimensional modeling
Full Job Description Position Title:
Business Intelligence and Data Modelling.
Location:
Dallas, TX Duration:
12 plus months contract Job Summary We are looking for an experienced Business Intelligence and Data Modelling with strong expertise in ETL, Databricks, Snowflake, and SME . The candidate will be responsible for designing scalable data solutions, developing enterprise data models, implementing ETL/ELT pipelines, and supporting BI reporting and analytics initiatives. 8+ years of experience in BI, Data Warehousing, Data Modelling, ETL, or Data Engineering, with strong hands-on experience in Databricks and Snowflake . Required Skills Strong experience in Business Intelligence and Data Modelling . Hands-on expertise in Databricks and Snowflake . Strong SQL and database development skills. Experience with ETL/ELT tools and methodologies . Strong understanding of Dimensional Modelling, Star Schema, Snowflake Schema, and Data Warehousing . Experience with Apache Spark / PySpark and Delta Lake. Strong understanding of modern cloud data platforms and Lakehouse architecture. Experience with Power BI or equivalent BI/reporting tools . Knowledge of data integration, data quality, governance, and performance optimization. Ability to understand complex business requirements and translate them into scalable technical solutions.