DATA ENGINEER
Summary
Build data pipelines, analyze raw data, and collaborate on predictive modeling projects using Python, Java, SQL, and Hadoop.
Job Description & Requirements
Responsibilities
Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Collaborate with data scientists and architects on several projects
Requirements and skills
Previous experience as a data engineer or in a similar role
Technical expertise with data models, data mining, and segmentation techniques
Knowledge of programming languages (e.g. Java and Python)
Hands-on experience with SQL database design
Great numerical and analytical skills
Degree in Computer Science, IT, or similar field; a Master’s is a plus
Data engineering certification (e.g IBM Certified Data Engineer) is a plus
APPLIED PHYSICS IS REQUIRED.
SKILLS
- Data Analysis
- Analytical Skills
- Pipelines
- Segmentation
- Hadoop
- Architects
- ETL
- Data Quality
- Reliability
- Data Engineering
- Data Mining
- SQL
- Predictive Modeling
- Python
- Database Design
- Java