Data Engineering

Summary: As a Data Engineer, you will play a critical role in designing, building, and maintaining scalable data pipelines that enable reliable data integration, storage, and retrieval across the organization. Your work will ensure high-quality, secure, and compliant data flows from diverse sources into centralized systems, empowering data scientists, analysts, and business teams to derive actionable insights. By optimizing ETL processes and maintaining robust data architectures, you will support the company’s growth and data-driven decision-making capabilities. Responsibilities: Design, develop, and optimize ETL/ELT pipelines to ingest structured and unstructured data from multiple sources into a unified data ecosystem. Architect and manage scalable data warehouses, data lakes, and database schemas to support efficient storage and rapid data access. Implement data governance policies, validation rules, and quality assurance mechanisms to ensure data accuracy, integrity, and regulatory compliance. Collaborate with data scientists, software engineers, and business stakeholders to understand data needs and deliver tailored infrastructure solutions. Monitor, troubleshoot, and resolve pipeline failures; continuously optimize query performance and system scalability to support evolving business demands.