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H
Hylaine
Data Intelligence Consultant
Career Insights for Data Engineer
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Based on North Carolina data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$113,693 / year median in North Carolina
+14% projected growth
Job Description
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Data Intelligence Consultant Raleigh, North Carolina, United States Apply Position Description:
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. What you'llDo:
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 This position is not eligible for visa sponsorship. To be considered, you must be legally authorized to work in the U.S. now and in the future without the need for sponsorship. 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. Apply for this job- indicates a required field Autofill my application First Name
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