
Lead Data Engineer for Advanced Analytics
3 days ago
The incumbent will play a pivotal role in driving self-service analytics, integrating AI and machine learning insights, and ensuring a scalable data environment that empowers stakeholders with timely, accurate, and future-ready analytics.
Main Responsibilities:- Provide BI/reporting support across SSRS, SSIS, and Power BI, ensuring reliability and accuracy.
- Monitor, troubleshoot, and optimize ETL jobs and data refresh processes.
- Enhance performance and usability of dashboards and reports.
- Standardize reusable data assets to enable self-service analytics.
- Collaborate with data science teams to embed AI/ML-driven insights into analytics delivery.
- Balance support of current infrastructure with continuous innovation in advanced analytics.
- Provide day-to-day production support of analytics platforms, ensuring up time, data accuracy, and SLA adherence.
- Diagnose and resolve incidents, including failures, data refresh issues, and user access related issues.
- Expertise in BI tools: SSRS, Power BI, SSIS, SSAS.
- Proficiency in SQL Server query optimization and tuning.
- Experience with Azure Data Factory, Synapse Analytics, and data warehouse schema design.
- Strong problem-solving skills and stakeholder communication.
- Exposure to AI/ML model integration in analytics workflows is highly desirable.
We offer a dynamic work environment where curiosity, commitment, and continuous learning drive success. Our team thrives on energy, enthusiasm, and high intensity.
About Us:We are a fast-growing startup redefining how businesses harness the power of data, analytics, and AI to drive measurable outcomes.
We value integrity, customer success, collaboration, continuous learning, and innovation.
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