Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand plus metro location and broad skillset increase applicant competition.
Core BI and data-engineering skills are broadly transferable across industries despite domain knowledge benefits.
Explicit 8–11 years requirement plus mandatory BI/data and cloud/AI skills makes filters strict.
Develop and maintain enterprise-grade BI reports, dashboards, and analytical solutions using tools like Power BI, Tableau, MicroStrategy, or QlikView within a multi-region, multi-tenant SaaS environment.
Optimize SQL queries and data models across data warehouses, data lakes, and both SQL/NoSQL databases to ensure scalable, high-performance reporting solutions.
Collaborate cross-functionally with Product, R&D, QA, DevOps teams and contribute to automation, cloud deployments, DevOps, CI/CD processes, including leveraging AI tools to improve productivity.
Bachelor’s or Master’s degree in Computer Science, Electronics Engineering, or related field from a reputed institute.
8–11 years of experience in BI, software, or data engineering roles.
Strong expertise in BI tools, SQL, data modeling, ETL, Data Warehouse/Data Lake architectures, and both SQL and NoSQL databases.
Experience with cloud platforms, DevOps, automation, continuous integration/delivery, and familiarity with AI tools or agents.
Experienced working in multi-region, multi-tenant SaaS environments focusing on scalable BI and analytical solutions.
Practiced in cross-team collaboration within Agile frameworks, contributing to end-to-end product delivery and automation.
Knowledgeable in cloud-native technologies and AI implementations to streamline engineering and operational workflows.