IPS Technology Services
Power BI / Data Modeler
IPS Technology Services, Jersey City, New Jersey, United States, 07390
Job title :
Data Modeler Location :
New Jersey, USA Key Responsibilities : Design, develop, and implement data models (logical, physical, and conceptual) for enterprise-scale data systems, with a focus on investment management domain knowledge and experience in implementing data models using DataVault 2.0. Data Architecture :
Collaborate with the data architecture team to develop scalable and high-performance data models for reporting, analytics, and business intelligence. Experience : 12+ years of experience in data modeling, data architecture, or related fields. Proficiency with data modeling tools such as Erwin, IBM InfoSphere Data Architect, or Microsoft Visio. Experience with SQL, NoSQL, and other database technologies (Oracle, SQL Server, MySQL, PostgreSQL, Hadoop, etc.). Knowledge of cloud-based data platforms (AWS, Azure, GCP) and modern data warehouses (Snowflake, Redshift, BigQuery). Strong understanding of database design, normalization, denormalization, star / snowflake schemas, and ETL processes. Experience in Agile and DevOps environments, with knowledge of data governance and security protocols. Ability to align data models with business requirements to support key business goals.
#J-18808-Ljbffr
Data Modeler Location :
New Jersey, USA Key Responsibilities : Design, develop, and implement data models (logical, physical, and conceptual) for enterprise-scale data systems, with a focus on investment management domain knowledge and experience in implementing data models using DataVault 2.0. Data Architecture :
Collaborate with the data architecture team to develop scalable and high-performance data models for reporting, analytics, and business intelligence. Experience : 12+ years of experience in data modeling, data architecture, or related fields. Proficiency with data modeling tools such as Erwin, IBM InfoSphere Data Architect, or Microsoft Visio. Experience with SQL, NoSQL, and other database technologies (Oracle, SQL Server, MySQL, PostgreSQL, Hadoop, etc.). Knowledge of cloud-based data platforms (AWS, Azure, GCP) and modern data warehouses (Snowflake, Redshift, BigQuery). Strong understanding of database design, normalization, denormalization, star / snowflake schemas, and ETL processes. Experience in Agile and DevOps environments, with knowledge of data governance and security protocols. Ability to align data models with business requirements to support key business goals.
#J-18808-Ljbffr