Data Engineer - Seurat Technologies

Key Responsibilities Design, develop, and maintain robust data pipelines that ingest, transform, and store large volumes of manufacturing and sensor data. Implement data models and schemas in relational and distributed data stores to support real‑time analytics and reporting. Leverage AWS services (S3, Redshift, Glue, EMR) and container orchestration (Docker, Kubernetes) for scalable, fault‑tolerant processing. Collaborate with data scientists and product teams to deliver high‑quality datasets for machine learning and optimization models. Monitor pipeline performance, troubleshoot issues, and continuously improve data quality and processing efficiency. Requirements 3+ years of experience in data engineering, with strong proficiency in Python and SQL. Hands‑on experience with Apache Spark and distributed data processing frameworks. Solid understanding of AWS data services and cloud architecture. Experience with containerization (Docker) and orchestration (Kubernetes) is a plus. Excellent problem‑solving skills and a collaborative mindset. #J-18808-Ljbffr Gravity Engineering Services Pvt Ltd.