Business Intelligence Engineer (2-4 Years)

About the Role

We are looking for strong data-first BI Engineers who are passionate about working with data and building systems that will provide data availability for an organization that’s growing at scale. If you’re a curious mind who constantly questions the status-quo, then you’d fit right in with us.

Key Responsibilities

• Be an integral part of defining the data consumption strategy across the organization.
• Monitor performance trends and influence any interventions based on performance.
• Collaborate closely with engineering and product functions to understand data flow and architecture.
• Find the best tech solutions from an Analytics standpoint to build scalable data models.
• Drive integration of AI capabilities to build forward-looking, BI-focused applications and automated insights.
• Define processes and best practices for data modeling, consumption, querying, and reporting.
• Become an SME in the tech stack used across different analytics functionalities and be the go-to person for unblocking tech boundaries.

Requirements & Tech Stack

• Advanced SQL & Big Data: Ability to write complex queries to manipulate and consolidate multiple data sources.
• Hive Expertise: Good knowledge of Hive internals, big data querying, and query optimization techniques.
• BI & Visualization Principles: Strong grasp of data visualization and BI design principles.
• AI Integration: Knowledge of leveraging AI/LLMs to build smart, BI-focused applications.
• Data Architecture: Strong understanding of data handling, data modeling, and data flows.
• Communication: Ability to clearly explain thoughts and ideas verbally or in writing.
• Knowledge of Python (especially for data processing, pipelines, or AI integrations).
• Bonus Skills: Understanding of basic engineering concepts behind Airflow pipelines and data orchestration.

Qualifications

• 2-4 years of data analytics or BI engineering experience in relevant roles.