Support Engineer

Anblicks Inc.; Hyderabad; Hybrid; INR 600,000 - 1,000,000; Full time

Job summary

A leading data technology firm in Hyderabad is seeking a proactive Support Engineer to manage data platforms and client solutions. This role involves ensuring system reliability and uptime in a 24x7 support model. The ideal candidate will have at least 2 years of experience in Production Support or Data Engineering, proficiency with modern data technologies such as AWS, GCP, and Spark, and strong troubleshooting skills.

Qualifications

• 2+ years of experience in Production Support, Data Engineering, or Cloud Support.
• Hands-on experience with at least one modern data technology.
• Strong troubleshooting, debugging, and analytical skills.

Responsibilities

• Provide L1/L2 production support for data platforms and applications.
• Monitor systems for high availability and performance.
• Troubleshoot incidents and perform root cause analysis.

Skills

Production Support

Cloud Support

AWS

GCP

Databricks

Spark

Python

Perl

Troubleshooting

Debugging

Tools

Monitoring Tools

Incident Management Tools

Job description

Work Mode: Work from Office

Shift: 24x7 Rotational Shifts

Experience: 2–5 Years

Role Overview

We are looking for a proactive and detail-oriented Support Engineer to manage and support data platforms and client solutions across cloud and on-premise environments. This role involves working with modern data technologies such as AWS, Databricks, GCP, and Spark to ensure system reliability, performance, and uptime in a 24x7 support model.

Key Responsibilities

• Provide L1/L2 production support for data platforms and applications in cloud and on-prem environments
• Monitor systems and ensure high availability, performance, and reliability
• Troubleshoot incidents, perform root cause analysis (RCA), and implement fixes
• Analyze logs and system metrics to identify and resolve issues proactively
• Support deployment, configuration, and enhancements of data solutions
• Collaborate with Cloud, DevOps, and Engineering teams for issue resolution and system improvements
• Participate in Major Incident Management, including real-time response, escalation, and stakeholder communication
• Maintain documentation for incidents, known errors, and operational procedures
• Ensure adherence to SLAs, KPIs, and operational processes

Required Qualifications

• 2+ years of experience in Production Support, Data Engineering, or Cloud Support roles
• Hands‑on experience with at least one: AWS, GCP, Databricks, Spark, or Snowflake
• Experience working in cloud‑based and distributed systems environments
• Strong troubleshooting, debugging, and analytical skills
• Scripting experience in Python or Perl
• Familiarity with monitoring tools and incident management workflows

Preferred Qualifications

• Experience with Data Lakes, Data Warehousing, or Big Data ecosystems
• Exposure to workflow orchestration tools such as Airflow, DBT, or Dagster
• Understanding of data architecture and pipeline design
• Knowledge of CI/CD pipelines and DevOps practices
• Awareness of cloud cost optimization and operational efficiency
• Ability to work effectively in 24x7 rotational shifts (including weekends/holidays)

What Sets You Apart

• Strong ownership mindset with the ability to handle critical production incidents
• Ability to work in a fast‑paced, high‑availability 24x7 support environment
• Excellent communication and stakeholder management skills
• Proactive problem‑solving approach with attention to detail