Hiring for a next-generation technology company building sovereign, secure, and scalable digital platforms across AI, Web3.0, cloud, and health-tech.
Hands-on Senior Data Engineer to build and maintain scalable data pipelines, lake house architecture, and analytics infrastructure. Work with up-to-date open-source technologies to enable data-driven insights and GenAI-powered analytics capabilities

Key Responsibilities
Data Ingestion & ETL
- Build and maintain data pipelines using Airbyte from multiple sources
- Configure connectors for databases (PostgreSQL, MySQL, MongoDB), APIs, SaaS applications
- Implement CDC for real-time data replication or using kafka streaming
- Design incremental and full-load sync strategies
- Ensure data validation and quality checks

Workflow Orchestration
- Develop and maintain Airflow DAGs for ETL workflows
- Implement error handling, retry logic, and monitoring




- Schedule complex multi-step data pipelines
- Integrate with databases, APIs, and external systems

Data Warehouse & Analytics
- Design and optimize ClickHouse schemas for OLAP
- Write advanced SQL queries and optimize performance
- Implement materialized views and aggregations
- Manage data partitioning and retention policies
- Build data marts for analytics use cases

Lake House Architecture
- Implement data lake house on object storage (Cloudian)
- Design data partitioning strategies (by date, region)
- Work with Parquet/ORC file formats
- Implement access control and data governance

BI & Dashboards
- Support Apache Superset and Power BI dashboard development

📌 Senior Data Engineer (Noida)
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📍 Noida