Browse current jobs

Data/Analytics Engineer

Hoonartek · Gurgaon

Apply on employer website

Source and collection record

Read the employer source

Last observed by our collector: . This is not a manual review or a confirmation from the employer.

Employer requisition: IT 01699

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

ANALYTICS ENGINEER WMS Production Support & Optimization Function Analytics & Reporting Production Support Business Domain WMS Analytics - SCM & Fixed Assets Role Focus Production support, bug fixing, minor enhancements, reconciliation and performance optimization Supported Assets Reports, dashboards, data models, reconciliation assets and scheduled data pipelines Role Purpose The Analytics Engineer will provide end-to-end production support and continuous improvement for WMS analytics assets. The role is responsible for maintaining reliable data pipelines, accurate reports and reconciliations, available dashboards, and efficient data models across inventory, transfer orders, capitalization, installation, shipment and business reporting processes. Key Responsibilities Production monitoring: Monitor scheduled data pipelines, report refreshes, dashboard availability and data-completeness controls; identify failures or delays and coordinate timely recovery. Incident resolution: Investigate and resolve production issues involving model failures, pipeline failures, report unavailability, incorrect calculations, missing data and dashboard defects. Data mismatch and reconciliation support: Analyse source-to-report mismatches and reconciliation discrepancies, isolate the failing logic or data dependency, and implement validated corrections. Bug fixing: Deliver durable fixes for defects in SQL logic, dbt models, PySpark transformations, orchestration workflows, dashboard datasets and reconciliation rules. Minor enhancements: Implement approved changes to existing reports, dashboards, filters, fields, data models, reconciliation logic and business rules within the agreed scope. Performance and technical-debt reduction: Optimise data models, queries and pipelines to improve runtime, stability, maintainability and resource utilisation without changing approved business outputs. Dashboard support: Support Tableau dashboards, including data-source validation, refresh troubleshooting, filter/field changes and issue analysis in coordination with business users. Root-cause analysis: Prepare clear RCA documentation for significant or recurring incidents, including impact, cause, corrective action, preventive action and dependency tracking. Release and CI/CD support: Participate in code reviews, testing, deployment, rollback planning and controlled promotion of fixes and enhancements through CI/CD pipelines. Stakeholder coordination: Work with analytics, business, source-system, infrastructure and platform teams to resolve dependencies, upstream data issues and production outages. Governance and documentation: Maintain issue trackers, weekly and monthly status inputs, RCA records, runbooks, support procedures and handover material for supported WMS analytics assets.

Collected experience requirement

7 to 10 years