Support Engineer

Job description

**JOB DESCRIPTION** **Role:** L1 Support Engineer **Location:** Bangalore (HQ), Pune, Chennai, Kolkata, Hyderabad, Gurugram **Experience:** 1 -3 years **About Us** Tredence differentiates itself from other analytics services firms by enabling last-mile adoption of insights. We drive true business impact by uniting our strengths in business analytics, data science, and software engineering. We help our clients deliver on the artificial intelligence imperative in a practical and demystified way. Learn more at www.tredence.com **Job Overview** As a Support Engineer, you will play a key role in providing technical support and ensuring smooth operation of data-driven solutions in 24x7 environments. Success in this role means effectively troubleshooting, resolving issues, and collaborating with teams to enhance client satisfaction and operational efficiency. You will act as a critical link between clients and development teams, enabling seamless adoption of analytics solutions. This role offers an excellent foundation to grow your technical and problem-solving skills within a leading analytics and AI-focused organization. **Key Responsibilities** - First-line Monitoring: Perform first-line monitoring and incident triage for 24x7 operations. - Cloud Services Oversight: Monitor Google Cloud Platform (GCP) services including BigQuery, Pub/Sub, Dataflow, Composer, and Cloud Storage. - Alert & Ticket Management: Manage alerts, tickets, escalations, and ensure smooth shifting handovers. - Troubleshooting: Resolve issues using Linux, SQL, and Python scripts to ensure business continuity. - Collaboration: Work closely with business analysts, data scientists, and software engineers to diagnose and resolve problems. - Deployment Assistance: Assist in the rollout and testing of new features and updates. - Documentation: Maintain clear records of support activities, incident reports, and resolution steps. - Continuous Learning: Continuously learn and apply best practices in support engineering and data operations. **Note - Shift Operations:** Work in rotational shifts over weekends, covering schedules of 6:00 AM 3:00 PM, 2:00 PM 11:00 PM, and 10:00 PM 7:00 AM. **Skills & Qualifications** - Bachelor’s degree in engineering or technology (BE/BTech). - Strong knowledge of Linux and SQL. - Familiarity with monitoring tools and basic GCP knowledge. - Proficiency in Python for debugging and support tasks. - Exposure to cloud platforms, data lake operations, and data warehousing concepts. - Experience with scripting languages for automation. - Understanding of incident management processes, ITIL practices, and SDLC tools. - Certifications in cloud technologies, databases, Python, or technical support are an added advantage. - Strong analytical and problem-solving skills with effective communication abilities. **Why You Will Love This Job** - Gain hands-on experience in data lake operations and cloud technologies. - Work alongside industry experts in a collaborative and innovative environment. - Benefit from continuous learning opportunities to grow technical expertise and domain knowledge. - Enjoy a balanced work culture with on-site engagement that fosters teamwork and professional development. - Contribute to impactful AI driven projects that transform businesses and create real-world value.