Role Overview
We are seeking a highly skilled Data Engineer / BI Engineer with experience in designing ETL/ELT pipelines, managing databases, and developing dashboards using Power BI. The ideal candidate will be responsible for handling end-to-end data workflows, from data extraction and transformation to visualization and insights generation. This role provides an chance to be a part of a growing modern Data & AI Engineering team working to build an industry-transforming product.
Key Responsibilities
Design, develop, and maintain ETL/ELT pipelines using Python, Airflow, and SQL to manage and optimize data lake and data warehouse solutions in an AWS environment.
Extract and integrate data from third-party APIs and optimize queries to improve performance and ensure efficient database operations.
Develop and maintain dynamic dashboards and reports in Power BI for management consumption as per stakeholder requirements.
Perform data profiling and source system analysis to ensure data quality and integrity. Independently validate and assess the accuracy of data outputs before delivery,



ensuring results align with business expectations.
Proactively evaluate different technical approaches and suggest alternatives to ensure optimal outcomes within the broader system and business context.
Implement best practices in data engineering, architecture, and analysis for the continuous improvement of data solutions.
Requirements
4+ years of experience in data engineering, ETL/ELT pipeline development, and data warehouse management solutions on AWS. Strong expertise in SQL (T-SQL, MS SQL) with a focus on query optimization and database performance tuning.
Proficiency in Python (including data-specific libraries such as Pandas, NumPy, etc.) and Airflow for ETL/ELT processes. Experience extracting and managing data from third-party APIs (REST, JSON).
Strong expertise in Power BI for data visualization, dashboard creation, and insight generation through data analysis.
Demonstrated

📌 Data Engineer (India)
🏢 canibuild
📍 India