Fw: Urgent requirement || Data Engineer ||USC/GC/ H4 Only

[Nazar Hussain]

Position:- Data Engineer

Location:-Remote

Duration:- 6 months

Visa:- USC/GC/ H4 Only

Need  only candidate only  Utah

Data Engineer

We are seeking a Data Engineer to join our Enterprise Technology and Operations (ETO) team, responsible for building and maintaining scalable, high-performance data platforms that enable data-driven decision-making in a fast-paced financial environment.

The role involves designing, developing, and deploying enterprise-grade data solutions, automating infrastructure, and ensuring high system availability and performance. You will work on ETL pipelines, real-time data processing, and Big Data distributed systems while supporting production environments and troubleshooting technical issues. The position also includes collaboration with cross-functional teams in an Agile setup, participation in sprint ceremonies, and coordination for production deployments and testing activities.

Key Responsibilities:

• Develop and maintain scalable data platforms and ETL pipelines
• Ensure system reliability, performance, and uptime through monitoring and optimization
• Design and implement technical solutions based on business requirements
• Troubleshoot and resolve system and application issues
• Support production deployments, testing, and QA processes
• Automate infrastructure and improve data processing efficiency
• Collaborate in Agile ceremonies and cross-functional teams
• Maintain technical documentation and support continuous improvement initiatives

Required Skills:

• ETL tools (preferably IBM DataStage)
• SQL, UNIX/Linux
• Python and Java programming
• Big Data and distributed systems
• Knowledge of real-time data pipelines and orchestration tools
• Strong analytical, problem-solving, and debugging skills
• Ability to work in Agile environments and manage multiple priorities
• Strong communication and collaboration skills

Qualifications:
Bachelor’s degree in Computer Science, Computer Engineering, or related field with relevant experience in data engineering or related technologies.