Lead Data Engineer

Role: Lead Data Engineer Location: India, Remote Experience: 10+ Years Algoworks www.algoworks.com About the company Algoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. We bring together a global team of engineers, architects, designers, researchers and operators united by rigor, accountability and a commitment to delivering measurable results. For over 20 years, Algoworks has partnered with Fortune 500 organizations across the Americas, Europe and Asia to define, build and run technology that drives meaningful business outcomes. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement. At Algoworks, growth is continuous and closely tied to impact. Teams collaborate across geographies and disciplines, strengthening outcomes through shared insight and collective expertise. The culture values transparency, open dialogue and an environment where every voice is heard and contribution is recognized. Through collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but strong global teams that elevate performance and create lasting impact. Follow the video below to know about us! Clipchamp Role overview We are seeking a hands-on Senior Data Engineer with strong expertise in Azure Databricks and Azure Data Factory to build, optimize, and maintain scalable enterprise data pipelines. The role will focus on high-performance ETL/ELT development, Delta Lake optimization, data processing across Bronze, Silver, and curated layers, and close collaboration with DWH and reporting teams for downstream consumption. The ideal candidate will act as a senior technical contributor, ensuring reliability, performance, data quality, and maintainability across the data platform. Key responsibilities: 1.Pipeline Development Build and maintain scalable data pipelines using Azure Databricks and Azure Data Factory. Implement ingestion and transformation logic across Bronze and Silver data layers. Develop batch and incremental data-processing patterns. Design reliable and reusable pipeline components for enterprise workloads. Monitor and troubleshoot pipeline execution and data-processing issues. 2.Curated Layer & Delta Lake Development Implement hydration, merge, and upsert logic using Delta Lake. Build and maintain curated datasets aligned with data quality and business requirements. Handle late-arriving data and incremental updates. Implement reliable data transformation and reconciliation processes. Ensure curated datasets are optimized for downstream consumption. …