Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Intelligence Consultant role.
Rezi rewrites your resume against Hylaine's job description. Free.
Tailor your resume to this Data Intelligence Consultant role.
Rezi rewrites your resume against Hylaine's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Intelligence Consultant posting at Hylaine — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Data Intelligence Consultant posting at Hylaine — free, in seconds.
About the Role
As a Senior Data 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.
Responsibilities
- 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.
Requirements
- 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.
- 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
- Must be legally authorized to work in the U.S. now and in the future without the need for sponsorship.
Skills
- Databases
- ETL
- Data Visualization
- BI Strategies
- Data Modeling
- Data Warehousing
- Cloud Solutions
- Reporting
- Dashboards
- Big Data
- Hadoop
- Snowflake
- Google BigQuery
- Azure Data Lakes
- Azure Synapse Analytics
- Amazon Redshift
- AWS EMR
- AWS
- Azure
- Google Cloud
- Communication
- Agile
- DevOps
- Compute
- Storage
- Permissions
- VM
- Containers
- Container Orchestration
- Artificial Intelligence
- Machine Learning
- R
- Python
- TensorFlow
- PyTorch
- AutoML
- OpenML
- Juila
- Jupyter
- Data Warehouse
- Data Lake
- Lakehouse
Experience Level
- Senior
- 5+ years
About the Company
- Our company participates in the U.S. Department of Homeland Security's E-Verify program to confirm the employment eligibility of all new hires. Upon hiring, you will complete Form I-9 and present acceptable documents for verification. We use E-Verify to ensure a legal workforce and prevent unauthorized employment, adhering strictly to anti-discrimination laws and protecting employee rights.