Data Engineer - Power BI

As a high-caliber Data Engineer with deep expertise in Power BI, you will play a crucial role in our growing analytics team in Delhi NCR. Your main responsibility will be to bridge raw, complex data structures with actionable business intelligence, ensuring that decision-makers have access to accurate, real-time insights. Collaborating closely with cross-functional stakeholders, including product managers and executive leadership, you will translate business requirements into robust data pipelines and sophisticated visualization dashboards. By architecting scalable data solutions and maintaining high-performance reporting environments, you will directly influence our strategic direction and operational efficiency, turning vast datasets into a competitive advantage that drives our business forward. Key Responsibilities: - Design and maintain end-to-end data pipelines using ETL processes to ensure seamless data flow from disparate sources into our centralized data warehouse. - Develop and deploy interactive, high-impact Power BI dashboards that provide clear visibility into key performance indicators for senior management. - Optimize existing data models and DAX queries to improve report performance and ensure data integrity across all enterprise-level reporting. - Collaborate with internal teams to identify data gaps and implement automated solutions that reduce manual reporting overhead and improve data accuracy. Required Skillset: - Demonstrated proficiency in architecting data models and building complex visualizations within the Power BI ecosystem, including advanced DAX and Power Query. - Strong technical command of SQL and Python for data manipulation, cleaning, and transformation tasks within cloud-based data environments. - Proven ability to communicate technical insights to non-technical stakeholders, ensuring that data-driven narratives are understood and actionable. - A collaborative mindset that thrives in a hybrid work environment, balancing independent technical deep-dives with active participation in team strategy sessions. - A degree in Computer Science, Engineering, or a related quantitative field, reflecting a strong foundation in data structures and analytical thinking. Note: Immediate joiners only. Candidates who have completed their notice period or are expected to complete it within the next 10 days are encouraged to apply. As a high-caliber Data Engineer with deep expertise in Power BI, you will play a crucial role in our growing analytics team in Delhi NCR. Your main responsibility will be to bridge raw, complex data structures with actionable business intelligence, ensuring that decision-makers have access to accurate, real-time insights. Collaborating closely with cross-functional stakeholders, including product managers and executive leadership, you will translate business requirements into robust data pipelines and sophisticated visualization dashboards. By architecting scalable data solutions and maintaining high-performance reporting environments, you will directly influence our strategic direction and operational efficiency, turning vast datasets into a competitive advantage that drives our business forward. Key Responsibilities: - Design and maintain end-to-end data pipelines using ETL processes to ensure seamless data flow from disparate sources into our centralized data warehouse. - Develop and deploy interactive, high-impact Power BI dashboards that provide clear visibility into key performance indicators for senior management. - Optimize existing data models and DAX queries to improve report performance and ensure data integrity across all enterprise-level reporting. - Collaborate with internal teams to identify data gaps and implement automated solutions that reduce manual reporting overhead and improve data accuracy. Required Skillset: - Demonstrated proficiency in architecting data models and building complex visualizations within the Power BI ecosystem, including advanced DAX and Power Query. - Strong technical command of SQL and Python for data manipulation, cleaning, and transformation tasks within cloud-based data environments. - Proven ability to communicate technical insights to non-technical stakeholders, ensuring that data-driven narratives are understood and actionable. - A collaborative mindset that thrives in a hybrid work environment, balancing independent technical deep-dives with active participation in team strategy sessions. - A degree in Computer Science, Engineering, or a related quantitative field, reflecting a strong foundation in data structures and analytical thinking. Note: Immediate joiners only. Candidates who have completed their notice period or are expected to complete it within the next 10 days are encouraged to apply.