Senior Data Engineer

Looking for Senior Software Development Engineer, you will leverage your 5+ years of expertise in Python-driven data engineering, cloud platforms (AWS & GCP), and distributed systems to architect and deliver scalable data solutions. You will be a key contributor to building and maintaining large-scale data warehouses, event-driven data pipelines, and microservices that power mission-critical business processes. Your role also encompasses developing RESTful APIs, automating CI / CD pipelines, and working closely with ML teams on model deployment and data integration.

Key Responsibilities

• Architect, develop, and maintain scalable, event-driven data pipelines and microservices using Python (Flask, FastAPI, Django).
• Manage and optimize large-scale data warehouses leveraging SQL, BigQuery, Redshift, and cloud-native data services.
• Build robust ETL solutions and streaming data processors using Spark, Apache Kafka, and cloud services.
• Design and implement infrastructure as code (IaC) and automated CI / CD pipelines for rapid deployment on cloud environments.
• Containerize and orchestrate applications with Docker and Kubernetes to ensure scalability and reliability.
• Collaborate cross-functionally with analytics, ML, and product teams to transform business requirements into technical architectures.
• Develop dashboards and data visualization tools with SQL and front-end frameworks (Angular preferred).
• Implement metrics, alerts, and automated error handling to monitor and continually improve system health and performance.