Support Engineer

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 problemsolving 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 valueRole & responsibilities

Preferred candidate profile

Perks and benefits