Data Engineer

Company Description

Overview: 

Argence Staffing Consulting is a workforce management provider throughout the USA and many other countries in the world. The below job opportunity is with one of our clients who is a global information technology company that provides high-performance and industry-focused solutions integrated with leading-edge security to clients in government, financial services and commercial markets. Their offerings include security software and, services, digital transformation and workplace services, industry applications and services, and innovative software operating environments for high-intensity enterprise computing. 
 

Job Description

We are seeking a skilled and analytical Data Engineer to join our team in Glen Ridge, United States. As a Data Engineer, you will be responsible for designing, implementing, and maintaining our data infrastructure to support business intelligence, analytics, and machine learning initiatives.

• Design, develop, and maintain scalable data pipelines to extract, transform, and load data from various sources
• Optimize data storage and retrieval systems to ensure efficient data processing and analysis
• Collaborate with data scientists and analysts to understand data requirements and provide solutions
• Implement data quality checks and monitoring systems to ensure data accuracy and integrity
• Develop and maintain documentation for data processes, architectures, and systems
• Continuously improve data infrastructure by researching and implementing new technologies and best practices
• Ensure data security and compliance with relevant regulations and company policies
• Troubleshoot and resolve data-related issues in a timely manner
• Participate in code reviews and contribute to the improvement of team coding standards

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field
• 3+ years of experience in data engineering or a related role
• Strong proficiency in programming languages such as Python, SQL, and Java
• Extensive experience with big data technologies like Hadoop and Spark
• Expertise in data warehousing concepts and ETL processes
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Solid understanding of data modeling and database design principles
• Proficiency in version control systems, particularly Git
• Experience in developing and optimizing data pipelines
• Knowledge of data governance and security best practices
• Strong analytical and problem-solving skills with attention to detail
• Excellent organizational skills and ability to manage multiple projects efficiently
• Familiarity with machine learning and AI concepts is preferred
• Strong communication skills and ability to work collaboratively in a team environment

Additional Information

All your information will be kept confidential according to EEO guidelines.