We are seeking a highly motivated and detail-oriented Data Engineer with expertise in designing, constructing, and maintaining robust data architectures and infrastructure. In this critical role, you will contribute to the successful implementation of digital government policies and programs in India. You will be instrumental in developing scalable and efficient systems to manage large volumes of data, making it accessible for analysis and decision-making, and ultimately driving innovation and optimizing operations across various government ministries and state departments.
Key Responsibilities
- Data Architecture Design: Design, develop, and maintain scalable data pipelines and infrastructure for ingesting, processing, storing, and analyzing large volumes of data efficiently, translating business requirements into technical solutions.
- Data Integration: Integrate data from various sources (databases, APIs, streaming platforms, third-party systems), ensuring reliable and effective collection while maintaining data quality and integrity as per government standards.
- Data Modeling:



Design and implement data models (dimensional modeling, normalization, denormalization) to organize and structure data for efficient storage and retrieval based on project requirements.
- Data Pipeline Development / ETL: Develop ETL processes to extract, transform, and load data into target systems, including writing scripts or using ETL tools to automate workflows and ensure data accuracy.
- Data Quality and Governance: Implement data quality checks and governance policies, designing and tracking data lineage, data stewardship, metadata management, and building business glossaries.
- Data Lakes or Warehousing: Design and maintain data lakes and data warehouses for structured, semi-structured, and unstructured data at scale, integrating with big data processing frameworks (e.g., Apache Hadoop, Apache Spark, Apache Flink), and with machine learning and data visualization tools.
- Data Secu

📌 Data Engineer (Delhi)
🏢 Wadhwani Foundation
📍 Delhi