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Tier-2 Series-C startup, remote, mid-level backend role with broad skills attracts high applicant density.
Requires specialized data-warehouse and analytics backend expertise, moderately transferable across industries.
Requires 3+ years plus Tier-1 engineering degree and top-company experience, enforcing strict candidate filters.
Design and implement analytical platforms delivering insightful dashboards to customers.
Develop and maintain scalable data warehouse schemas (e.g., star schema, fact tables, dimensions) for efficient data querying and access.
Manage data propagation processes ensuring data accuracy, reliability, and timeliness across source and warehouse databases.
Bachelor’s or higher degree (B.E/B.Tech/M.E/M.Tech/PhD) from Tier 1 Engineering institutes in relevant fields.
3+ years of Backend and Infrastructure experience with strong development, architecture, and design skills.
Proven expertise in large-scale databases, high-scale messaging systems, real-time job queues, and data warehouse schema design.
Experience with data movement, transformation, integration tools, and implementing scalable data architecture best practices.
Experienced in designing and operating high-scale data platforms with complex architectural patterns and codebases.
Strong background in data warehousing, ETL/ELT pipelines, and real-time data integration technologies.
Comfortable working with backend infrastructure requiring scalability and extensibility in AI-driven analytics environments.