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Senior Business Intelligence Consultant

HylaineRaleigh, North Carolina, United StatesOnsite

Position Description:


As a Senior Business Intelligence Consultant, you form the backbone of our consulting pool. You will be exposed to a little bit of everything, with a strong focus on databases, ETL, and data visualization tools.

What you'll Do: 


  • Solve challenging business and technical problems.
  • Design and develop BI strategies to include assisting with ETL, data modeling, data warehousing, cloud solutions, and building new reports and dashboards.
  • Grow in your career and enhance your technical abilities.

What you’ll need:


  • 5+ years of development experience.
  • Database development experience with a relational database (ideally Oracle or SQL Server).
  • Ability to build conceptual, logical and physical data models, data flows, and create data management.
  • Experience in Big Data/Data Warehousing at scale - Including but not limited to Hadoop, Snowflake, Google BigQuery, Azure Data Lakes, Azure Synapse Analytics, Amazon Redshift, AWS EMR
  • Some Cloud Experience in a major CSP (AWS, Azure, Google Cloud)
  • Strong written and verbal communication skills to work with our team and our clients.

Extra Credit: 


  • Agile methodologies and DevOps basics as they pertain to data
  • Cloud Technologies
  • Architecture basics of AWS, Azure or Google Cloud- i.e. compute, storage, and permissions
  • Understanding differences between VM and containers as well as knowledge of container orchestration technologies
  • Artificial Intelligence or Machine Learning
  • Including but not limited to R, Python, TensorFlow, PyTorch, AutoML, OpenML, Juila, Jupyter,
  • Understanding Data Warehouse vs Data Lake vs Lakehouse concepts and tradeoffs

Life at Hylaine

At Hylaine, we deliver unique, project-based technology solutions that help our clients embrace digital transformation, while maximizing their return on investment.
Thrive Here & What We Value1. Empowering clients by resolving challenges, mitigating risks, and removing roadblocks to enable solution delivery.2. Comfortable working across technologies and industries.3. Passionate about helping others succeed.4. Growth opportunities for career enhancement and technical abilities.5. Exposure to a little bit of everything, with a strong focus on systems languages and choosing the right tool for the job.6. Agile methodologies and DevOps basics as they pertain to data.7. Architecture basics of AWS, Azure or Google Cloud - i.e. compute, storage, and permissions.8. Understanding differences between VM and containers as well as knowledge of container orchestration technologies.9. Artificial Intelligence or Machine Learning including but not limited to R, Python, TensorFlow, PyTorch, AutoML, OpenML, Juila, Jupyter.10. Understanding Data Warehouse vs Data Lake vs Lakehouse concepts and tradeoffs.
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