Job DescriptionAbout the Job
nBritannica Home Fashions is looking for a Data Engineer - Reporting, Automation & Analytics to own the data pipelines, SQL storage, and reporting systems that power decision-making across our merchandising, inventory, and e-commerce teams.
nIn this role, you'll build and maintain Python data pipelines, SQL data lake storage, and QlikSense reports and dashboards used by teams across the business. You'll work directly with US-based stakeholders to turn ad hoc data requests into reliable, automated processes, and you'll be the person who tracks down why a number looks wrong and drives it to resolution.
nWe want someone who uses AI tools fluently as part of daily work, reaching for tools like Claude, Copilot, and ChatGPT to write and debug code, draft SQL, validate data, and build reports faster rather than doing everything by hand. As our technology platform evolves, you'll have opportunities to explore contemporary AI capabilities, intelligent automation, and next-generation reporting systems.
nKey Responsibilities
nData Pipelines & Automation




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Design and build Python ETL pipelines to ingest, transform, and validate data from marketplace, inventory, and sales sourcesn
Build and maintain SQL data lake storage so historical and change data stays available for analysisn
Automate recurring data jobs and monitor them for failures and data anomaliesn
Use AI tools to accelerate pipeline development, script writing, and troubleshooting, and look for prospects to automate manual, repetitive workn

nReporting & Dashboards
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Build and maintain custom reports and dashboards in QlikSense/NPrinting for inventory, retail sales, and marketplace performancen
Design and deliver fully custom, one-off data reports in response to stakeholder requestsn
Act as the point person for data confirmations, resolving mismatches between source systems and reportsn
Support and improve IT-enabled reporting systems, working with the

📌 Data Engineer Karnataka
🏢 Britannica Home Fashions
📍 Karnataka