Sr. Data Engineer
Experis
Durham, United States of America
12 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Durham, United States of America
Tech stack
Java
Agile Methodologies
Amazon Web Services (AWS)
Data analysis
Continuous Delivery
Continuous Integration
Data Architecture
ETL
Data Mart
Data Systems
Data Warehousing
DevOps
Python
Maven
Scrum
Software Engineering
SQL Databases
Snowflake
Database Optimization
GIT
REST
Docker
Jenkins
Job description
As a As a Senior Data Engineer you will work with highly effective squad, developing quality and scalable data solutions. You value how we work, are collaborative, and continuously seek to improve our engineering efficiency!
Requirements
- 7+ years of experience in developing quality data solutions
- Software development experience in the Financial Industry
- Expertise in Oracle PL/SQL development, SQL Scripting, and database performance tuning
- Intermediate experience in Java development is preferred
- Solid understanding of ETL tools like Informatica and Data Warehousing like Snowflake.
- You enjoy learning new technologies, analyzing data, identifying gaps, issues, patterns, and building solutions
- You can independently analyze technical challenges, identify, assess impact, and identify innovative solutions
- Strong data modeling skills using Quantitative and Multi-Dimensional Analysis
- Demonstrate understanding of data design concepts - Transactional, Data Mart, Data Warehouse etc.
- Beginner proficiency of in Python, REST API and AWS is a plus
- You are passionate about delivering high quality software using DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Git, Docker) practices!
- Experience developing software using Agile methodologies (Kanban and SCRUM)
- Strong analytical and problem solving skills
- Excellent written and oral communication skills