Overview
Remote
$60 - $70
Contract - Independent
Contract - W2
Contract - 6 Month(s)
Skills
Apache Hadoop
Apache Spark
Big Data
Data Modeling
Data Science
Data Lake
Data Engineering
Microsoft Azure
Python
Scripting
Data Security
Data Visualization
Databricks
MapReduce
SQL
Microsoft Visio
AI/ML Workflows
Job Details
Required Qualifications
Preferred Qualifications
- Bachelor s degree in computer science, Data Science, Information Systems, or a related field.
- Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks)
- Proven track record of successfully designing and implementing cloud-based data solutions in Azure
- Deep understanding of data modeling concepts and techniques.
- Strong proficiency with database systems (relational and non-relational).
- Exceptional diagramming skills with tools like Visio, Lucidchart, or other data visualization software.
Preferred Qualifications
- Advanced knowledge of cloud-specific data services (e.g., DataBricks, Azure Data Lake).
- Expertise in big data technologies (e.g., Hadoop, Spark).
- Strong understanding of data security and governance principles.
- Experience in scripting languages (Python, SQL).
- Communication: Exemplary written and verbal communication skills to collaborate effectively with all teams and stakeholders.
- Problem-solving: Outstanding analytical and problem-solving skills for complex data challenges.
- Teamwork & Leadership: Ability to work effectively in cross-functional teams and demonstrate potential for technical leadership.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.