Senior Support Engineer

Anblicks Inc.

Hyderabad

On-site

INR 1,200,000 - 2,400,000

Full time

14 days+
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Job summary

Anblicks Inc. is seeking an experienced Production Support Engineer for our Hyderabad operations to own and optimize SnapLogic-based integration pipelines and dbt transformation workflows.

You will monitor health, perform root-cause analysis, manage incidents, and lead a small team of engineers while ensuring documentation and runbooks are up to date. Strong communication with client stakeholders is essential.

Qualifications

  • Hands-on experience with SnapLogic or similar ETL/integration tools in a production support capacity.
  • Strong knowledge of dbt models, tests, macros, and CI/CD for transformations.
  • Experience in Managed Services/Application Support with ticketing and SLA-driven delivery.
  • SQL proficiency and experience with cloud data warehouses (Snowflake, Redshift, BigQuery).
  • Familiarity with cloud platforms (Azure/AWS/GCP) and monitoring/orchestration tools.
  • Excellent troubleshooting and communication skills with client stakeholders.

Responsibilities

  • Own day-to-day operational support for integration pipelines and dbt transformations.
  • Monitor pipeline health, identify failures, and drive root-cause fixes.
  • Manage incident response, triage, and SLA adherence for production issues (P1–P4).
  • Lead a small team of support engineers; assign tickets, review fixes, mentor juniors.
  • Maintain runbooks, documentation, and SOPs for the integration landscape.
  • Coordinate with Data Platform/Architecture on change management and releases.
  • Perform regular health checks and optimize pipelines and models.
  • Manage on-call rotations and escalation processes.
  • Track operational metrics and report to engineering leadership and client stakeholders.
  • Collaborate with client-side counterparts to review issues and backlog.

Skills

SnapLogic
dbt
Incident management
Root-cause analysis
Communication skills

Tools

ServiceNow
Jira Service Management
Snowflake
Redshift
BigQuery
Azure
AWS
GCP
SnapLogic

Job description

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 processes
  • Track 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
  • Strong troubleshooting and root-cause analysis skills under time pressure
  • Excellent communication skills — comfortable interfacing directly with client stakeholders
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