Lead Support Engineer

Anblicks; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Anblicks is seeking a Lead Operational Engineer – Data Integration & Support in Hyderabad to own operational support for integration pipelines and dbt-based workflows. You will monitor health, drive fixes, and manage incident response with SLA adherence, while leading a small team of engineers and maintaining runbooks.

The role requires strong SQL, experience with cloud data warehouses, and familiarity with multiple ETL tools.

Qualifications

• Hands-on experience with SnapLogic in production support.
• Strong knowledge of dbt models, tests, and CI/CD.
• Experience in Managed Services or IT support with SLA-driven delivery.
• Proficient SQL and cloud data warehouses (Snowflake/Redshift/BigQuery).
• Familiarity with Azure/AWS/GCP and orchestration/monitoring tools.
• Experience leading small support teams.
• Excellent communication with client stakeholders.

Responsibilities

• Own day-to-day operational support for integration pipelines built on SnapLogic (or equivalent ETL/iPaaS tools) and dbt-based transformation workflows
• Monitor pipeline health, proactively identify failures/bottlenecks, and drive root-cause analysis and permanent fixes (not just workarounds)
• Manage incident response, ticket triage, and SLA adherence for production support issues (P1–P4 severity handling)
• Lead a small team of support engineers — assign tickets, review fixes, mentor junior engineers, and ensure knowledge transfer
• Maintain and enhance runbooks, support documentation, and standard operating procedures for the integration landscape
• Coordinate with Data Platform/Architecture teams on change management, release deployments, and impact assessment for support-affected pipelines
• Perform regular health checks, capacity/performance reviews, and recommend optimization of existing SnapLogic pipelines and dbt models
• Manage on-call rotations and escalation processesTrack and report operational metrics (uptime, MTTR, ticket volume/trends) to engineering leadership and client stakeholders
• Partner with client-side counterparts to review open issues, prioritize backlog, and communicate status transparently

Skills

Operational support

Root cause analysis

Team leadership

Communication

Incident management

SLA management

Problem solving

Time management

Tools

SnapLogic

Informatica

Talend

Azure Data Factory

MuleSoft

ServiceNow

Jira Service Management

SQL

Snowflake

Redshift

BigQuery

Azure

AWS

GCP

CI/CD

dbt

Job description

Job Title: Lead Operational Engineer – Data Integration & Support

Key Responsibilities

• Own day-to-day operational support for integration pipelines built on SnapLogic (or equivalent ETL/iPaaS tools) and dbt-based transformation workflows
• Monitor pipeline health, proactively identify failures/bottlenecks, and drive root-cause analysis and permanent fixes (not just workarounds)
• Manage incident response, ticket triage, and SLA adherence for production support issues (P1–P4 severity handling)
• Lead a small team of support engineers — assign tickets, review fixes, mentor junior engineers, and ensure knowledge transfer
• Maintain and enhance runbooks, support documentation, and standard operating procedures for the integration landscape
• Coordinate with Data Platform/Architecture teams on change management, release deployments, and impact assessment for support-affected pipelines
• Perform regular health checks, capacity/performance reviews, and recommend optimization of existing SnapLogic pipelines and dbt models
• Manage on-call rotations and escalation processesTrack and report operational metrics (uptime, MTTR, ticket volume/trends) to engineering leadership and client stakeholders
• Partner with client-side counterparts to review open issues, prioritize backlog, and communicate status transparently

Required Skills & Experience

• Hands-on experience with SnapLogic (or similar ETL/integration tools — Informatica, Talend, Azure Data Factory, MuleSoft) in a production support capacity
• Strong working knowledge of dbt (models, tests, macros, documentation, CI/CD for transformations)
• Prior experience in a Managed Services / Application Support / L2-L3 support environment — ticketing tools (ServiceNow, Jira Service Management), incident management, SLA-driven delivery
• SQL proficiency and experience with cloud data warehouses (Snowflake, Redshift, BigQuery, or similar)
• Familiarity with cloud platforms (Azure/AWS/GCP) and orchestration/monitoring tools
• Experience leading or mentoring a small support team
• Strong troubleshooting and root-cause analysis skills under time pressure
• Excellent communication skills — comfortable interfacing directly with client stakeholders