Omni Inclusive
BI Developer
Omni Inclusive, Arden Hills, Minnesota, United States,
Mandatory Skills:
OBIEE, Informatica, Snowflake.
7+ years' experience in Data modelling, Business Architecture and developing Data warehouse solutions on OBIEE, Informatica, Snowflake environments.Experience with setting up a Data strategy and roadmap for modern data architecture and migration to Cloud platforms.Analyze requirements to create technical designs, data models and migration strategies.Interact closely with Business Analysis team, ETL team and BI Reporting teams to ensure understanding of proper use of data architecture.Design, build, and maintain physical databases, dimensional data models, ETL layer design and data integration strategies.Collaborate with technology stakeholders to define and implement actionable metrics, KPIs and data visualization.Implement data quality, data integrity, and data standardization efforts across products and databases enabling key business processes and applications.Recommend improvements to enhance existing ETL and data integration processes to enable performance and overall scalability with cross functional teams.Experience in working with Cloud data warehouse like Snowflake, AWS Redshift, Azure Synapse or Google BigQuery.Hands on experience with programming languages such as Python, SQL to create automated processes for data gathering, cleansing, reporting, and visualization.
OBIEE, Informatica, Snowflake.
7+ years' experience in Data modelling, Business Architecture and developing Data warehouse solutions on OBIEE, Informatica, Snowflake environments.Experience with setting up a Data strategy and roadmap for modern data architecture and migration to Cloud platforms.Analyze requirements to create technical designs, data models and migration strategies.Interact closely with Business Analysis team, ETL team and BI Reporting teams to ensure understanding of proper use of data architecture.Design, build, and maintain physical databases, dimensional data models, ETL layer design and data integration strategies.Collaborate with technology stakeholders to define and implement actionable metrics, KPIs and data visualization.Implement data quality, data integrity, and data standardization efforts across products and databases enabling key business processes and applications.Recommend improvements to enhance existing ETL and data integration processes to enable performance and overall scalability with cross functional teams.Experience in working with Cloud data warehouse like Snowflake, AWS Redshift, Azure Synapse or Google BigQuery.Hands on experience with programming languages such as Python, SQL to create automated processes for data gathering, cleansing, reporting, and visualization.