Data Engineer/Data Operations Engineer

We are seeking a highly motivated Data Operations Engineer / Data Integration Engineer to join our team supporting a large-scale enterprise data platform The ideal candidate will have strong experience in cloud-based data engineering, SQL development, ETL/ELT integration, and production support within a 24x7 mission-critical environment., * Design, develop, and maintain enterprise data integration pipelines

• Build and optimize SQL queries for high-performance data processing
• Develop and maintain ETL/ELT workflows using Talend or dbt
• Debug production pipeline failures.
• Support and monitor production data pipelines in a 24x7 operational environment
• Troubleshoot production issues and perform root cause analysis
• Collaborate with business users, architects, and cross-functional teams to deliver data solutions
• Ensure data quality, integrity, and reliability across enterprise systems
• Participate in production releases, incident management, and operational improvements
• Document technical solutions and operational procedures

• 5-7 years of Data Engineering/Data Operations/Data Integration experience
• Expert-level SQL
• Talend or dbt
• GCP (Preferred) or AWS
• GCP Big query
• Python
• Experience supporting 24x7 production environments
• Excellent communication, articulation, and presentation skills, This role requires excellent analytical skills, strong communication abilities, and the capability to work closely with business and technical stakeholders., * 5-7 years of experience in Data Engineering, Data Operations, or Data Integration
• Strong expertise in SQL (mandatory)
• Hands-on experience with Talend or dbt for data integration and transformation
• Experience with Google Cloud Platform (GCP) with Big Query.
• Good working knowledge of Python for data processing and automation
• Experience supporting 24x7 production environments
• Strong troubleshooting and root cause analysis skills
• Experience monitoring, maintaining, and optimizing production data pipelines
• Familiarity with data quality, data validation, and operational support processes
• Understanding of ETL/ELT concepts and enterprise data warehouse environments

Preferred Qualifications

• Experience working in Agile/Scrum environments
• Exposure to CI/CD and deployment processes
• Knowledge of scheduling and orchestration tools (Airflow, Control-M, etc.) is a plus
• Experience with monitoring and alerting tools is preferred, * Excellent verbal and written communication skills
• Strong presentation and stakeholder management skills
• Ability to clearly articulate technical concepts to both technical and non-technical audiences
• Self-driven, proactive, and able to work independently in a fast-paced environment
• Strong problem-solving and analytical abilities

Pay: Up to $60.00 per hour