Job Summary

We are looking for a Data Engineer / BI Developer with 2–4 years of experience in building cloud-based data pipelines, transformation frameworks, and analytical reporting solutions.

The ideal candidate should have hands-on experience with Google BigQuery, Apache Airflow, dbt, SQL, and Power BI, along with a good understanding of data warehousing, ETL/ELT processes, data modeling, and dashboard development.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Apache Airflow
• Develop and optimize data warehouse solutions using Google BigQuery
• Build reusable and maintainable transformation models using dbt
• Develop interactive reports and dashboards using Power BI
• Write complex and optimized SQL queries for extraction, transformation, validation, and reporting
• Create and maintain dimensional models, fact tables, views, and reporting datasets
• Develop dbt models, tests, documentation, macros, and incremental processing logic
• Monitor Airflow DAGs and troubleshoot pipeline and data-quality issues
• Optimize BigQuery queries for performance and cost efficiency
• Build Power BI semantic models, relationships, measures, calculated columns, and DAX calculations
• Perform source-to-target validation and data reconciliation
• Implement data-quality checks to ensure reliable and consistent reporting
• Participate in code reviews, deployments, testing, and production support
• Maintain technical documentation for pipelines, transformations, datasets, and dashboards
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