
11 - 50 employees
🏢 Enterprise
🤖 Artificial Intelligence
Enterprise • Data Engineering • Artificial Intelligence
Data Ideology, LLC is a consulting firm specializing in data strategy, analytics, artificial intelligence, machine learning, and data engineering. The company offers solutions to maximize business outcomes through data-driven insights and strategies, providing services such as data governance, analytics and visualization, and efficient data engineering pipelines. It works with industries including healthcare, financial services, and retail, offering its expertise to enterprise, mid-market, and private equity clients. Data Ideology partners with leading technology platforms like Snowflake, Databricks, Microsoft, and Google to deliver improved data quality, eliminate data silos, and enhance security and compliance for IT teams, finance, operations, and sales and marketing functions.
🕒 May 5
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11 - 50 employees
🏢 Enterprise
🤖 Artificial Intelligence
Enterprise • Data Engineering • Artificial Intelligence
Data Ideology, LLC is a consulting firm specializing in data strategy, analytics, artificial intelligence, machine learning, and data engineering. The company offers solutions to maximize business outcomes through data-driven insights and strategies, providing services such as data governance, analytics and visualization, and efficient data engineering pipelines. It works with industries including healthcare, financial services, and retail, offering its expertise to enterprise, mid-market, and private equity clients. Data Ideology partners with leading technology platforms like Snowflake, Databricks, Microsoft, and Google to deliver improved data quality, eliminate data silos, and enhance security and compliance for IT teams, finance, operations, and sales and marketing functions.
• Ability to collect and understand business requirements and translate those requirements into an actionable data warehouse plan • Knowledge of multi-dimensional and tabular design patterns and ability to identify solutions that leverage these modeling techniques • Ability to work within the SDLC framework in multiple environments and understand the complexities and dependencies of the data warehouse built within those constraints • Ability to define and implement best practices across database design and ETL • Ability to direct the work of others, including but not limited to directing ETL development, demonstrating an understanding of key concepts of ETL/ELT, including best practices for optimization and scheduling
• Proven understanding of Data Warehousing, Data Architecture, and BI • Experience with data pipelines and architecture/engineering • Knowledge of modern apps and data platforms • Cloud-based project implementation • Python or Java experience is a plus • BI/Data Warehousing (4+ years) • Cloud platforms (2+ years) • ETL (4+ years) • SQL (4+ years) • Data Modeling • Data Vault Modeling • Healthcare experience a plus
• Eligible for Medical • Dental • Vision • 401(k) • training and certification reimbursement • flexible time off in accordance with company policies
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