BI Engineer

Overview

Develop, migrate, deploy, and maintain data-driven insights and knowledge engine interfaces that support adoption and decision-making. Integrate security and data privacy protection while delivering analytics solutions across business domains.

What you'll do

• Perform independently and become a subject matter expert.
• Build dashboards, workflows, reports, scripts, validation routines, and reusable solution components.
• Translate business requirements and analytical logic into technical specifications and working solutions.
• Support automation of repetitive analytical or reporting tasks using Python or scripting approaches where appropriate.
• Troubleshoot data, logic, workflow, performance, and dashboard issues.
• Collaborate with techno-functional analysts, consultants, senior developers, and managers to clarify requirements and solution design.
• Perform unit testing, peer review support, documentation, and production-readiness checks.
• Ensure solutions are maintainable, scalable, documented, and aligned with internal delivery standards.
• Support operational analytics across supply chain, inventory, spares, logistics, quality, procurement, planning, finance, and related domains.
• Develop and maintain interfaces that transform data into actionable insights.
• Migrate and deploy data solutions.
• Integrate security and data privacy protections.
• Collaborate with various teams to enhance knowledge engines and promote adoption of data-driven strategies.

What you'll need

• Microsoft Power Business Intelligence (PBI).
• Google BigQuery.
• Minimum 3 year(s) of experience.
• 15 years full time education.
• Proficiency in Microsoft SQL Server.
• Proficiency in Oracle Procedural Language Extensions to SQL (PLSQL).
• Strong SQL capability with experience working on large enterprise datasets.
• Working knowledge of Python, preferably through Colab, for data processing, automation, or validation.
• Experience with dashboards, workflows, reporting tools, BI concepts, and data validation.
• Ability to understand analytical business logic and convert it into reliable technical solutions.
• Familiarity with PLX or ability to learn internal analytics platforms quickly.
• Strong debugging, documentation, problem-solving, and collaboration skills.
• Ability to work in an agile, stakeholder-facing analytics delivery environment.
• Minimum 2 to 5 years of experience in analytics development, BI development, reporting automation, SQL development, or related roles.

Nice to have

• Experience with Oracle Procedural Language Extensions to SQL (PLSQL).
• Exposure to BigQuery, Looker, Vertex, or other GCP tools is helpful but not mandatory.

Details

• Based at the Bengaluru office.