Job Summary
We are seeking a skilled Data Engineer with experience in building scalable data pipelines, analytics solutions, and business intelligence platforms. The ideal candidate should have strong expertise in SQL, Python, data warehousing, dashboard development, and data visualization. The candidate will work closely with business stakeholders, product teams, and data consumers to transform raw data into actionable insights and support data-driven decision-making.
Key Responsibilities
Design, develop, and maintain scalable data pipelines and ETLELT processes.
Build and support analytics solutions that convert large volumes of operational and transactional data into meaningful business insights.
Develop data models and optimize SQL queries for reporting and analytics needs.
Create dashboards and BI reports to monitor business KPIs and operational health metrics.
Collaborate with business users, product teams, and engineering teams to gather requirements and deliver data solutions.
Implement data quality controls, monitoring, and alerting mechanisms to ensure accuracy and reliability.
Support data migration, integration, and modernization initiatives across enterprise platforms.
Participate in Agile ceremonies including sprint planning, backlog grooming, and stakeholder reviews.
Analyze business data and provide recommendations to improve operational efficiency and business performance.
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