Lead Engineer

NTT DATA BUSINESS SOLUTIONS; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

NTT DATA BUSINESS SOLUTIONS in Hyderabad, Telangana, seeks a Lead Engineer to drive analytics initiatives and align with enterprise analytics strategy. You will collaborate with data owners to refine product visions and ensure delivery in production environments.

You will operate in a 24/7 support model with rotating shifts, performing advanced troubleshooting across data platforms, and ensuring timely restoration of services with proper escalation when needed.

Responsibilities

• Collaborate with Customer Data Owner to define and continuously refine the vision for analytics products, ensuring alignment with enterprise analytics strategy and business priorities.
• Demonstrated ability to support ADF, Azure SQL, Databricks, Snowflake, and PBI in production environments.
• Effective operation in a 24/7 support model with rotating shifts.
• Clear, timely, and consistent communication with stakeholders.
• Continuous improvement through reduction of repeat incidents and alert noise.
• Perform advanced troubleshooting across supported data platforms.
• Execute reruns, restarts, backfills, and rollbacks to restore service.
• Conduct data validation and reconciliation to confirm recovery.
• Apply temporary mitigations to stabilize production workloads.
• Restore service quickly and safely. Escalate to L3 only when an engineering change is required.
• Provide complete diagnostic information, impact assessment, and attempted remediation details during escalation.

Job description

Job Summary

We are currently seeking a Lead Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN).

Responsibilities

• Collaborate with Customer Data Owner to define and continuously refine the vision for analytics products, ensuring alignment with enterprise analytics strategy and business priorities.
• Demonstrated ability to support ADF, Azure SQL, Databricks, Snowflake, and PBI in production environments.
• Effective operation in a 24/7 support model with rotating shifts.
• Clear, timely, and consistent communication with stakeholders.
• Continuous improvement through reduction of repeat incidents and alert noise.
• Perform advanced troubleshooting across supported data platforms.
• Execute reruns, restarts, backfills, and rollbacks to restore service.
• Conduct data validation and reconciliation to confirm recovery.
• Apply temporary mitigations to stabilize production workloads.
• Restore service quickly and safely. Escalate to L3 only when an engineering change is required.
• Provide complete diagnostic information, impact assessment, and attempted remediation details during escalation.