Senior Software Engineer (Data Engineer)

📋 Description

• Design, build, and operate scalable data engineering services supporting analytics, reporting, ML
• Develop and maintain reliable data ingestion pipelines using CDC, event-driven architectures
• Build and optimize a centralized analytics warehouse for performance, scalability, reliability, and
• Design data models, materialized views, aggregation strategies, and analytical structures for
• Develop backend APIs and services exposing analytics and reporting to internal/external users.
• Define multi-tenant security controls, data governance, access management, and infra-as-code

🎯 Requirements

• 5+ years of hands-on software engineering in scalable distributed systems, data engineering, or
• Strong backend engineering experience with production-grade services.
• Solid system design and architectural decision-making.
• Strong experience with analytical data warehouses such as ClickHouse, BigQuery, Snowflake, or
• Deep ClickHouse expertise (internals, materialized views, OLAP optimization) is a plus.
• Experience designing/operating large-scale data ingestion via Kafka, Pulsar, CDC, and streaming

🎁 Benefits

• Opportunity to work on scalable data platforms powering analytics, ML, and AI-driven apps.
• Ownership across the engineering lifecycle from architecture to production operations.
• Exposure to modern cloud, streaming, analytics databases, observability, and AI tech.
• Chance to tackle complex distributed systems and data-engineering challenges in a product-driven
• Collaborative work with stakeholders across a growing tech organization.
• Professional growth through exposure to large-scale systems and evolving data tech.