Job Description
Fast API, Python programming, PySpark, Oracle SQL, Snowflake and AWS EKS (Secondary)
Primary Skills - Oracle SQL, Python, PySpark, Snowflake, ReactJSClaude (good to have for building agentic workflows)Job Title: Full Stack Data Engineer (Python, PySpark, Snowflake, ReactJS)About the RoleWe are seeking a highly skilled and motivated Full Stack Data Engineer to join our growing team. This role combines strong data engineering expertise with frontend capabilities to build scalable data platforms and user-centric applications. You will work across the stack-from data pipelines to interactive dashboards-leveraging modern technologies and cloud-based architectures.Key ResponsibilitiesDesign, develop, and optimize complex queries and data models using Oracle SQL.Build scalable data pipelines using Python and PySpark for batch and real-time processing.Develop and manage data warehousing solutions on Snowflake, ensuring performance, security, and cost optimization.Create responsive and dynamic user interfaces using ReactJS to visualize data insights.Collaborate with cross-functional teams including data scientists, analysts, and product managers to deliver end-to-end solutions.Ensure data quality, integrity, and governance across all pipelines and systems.Implement best practices for code quality, testing, and CI/CD.Monitor and troubleshoot data workflows and application performance.Required Skills & QualificationsStrong proficiency in Oracle SQL, including query optimization and performance tuning.Hands-on experience with Python and distributed data processing using PySpark.Solid experience working with Snowflake (data modeling, SnowSQL, performance tuning).Frontend development experience using ReactJS, including state management and API integration.Understanding of ETL/ELT frameworks and data pipeline architecture.Experience with version control systems such as Git.Strong problem-solving skills and attention to detail.Good to HaveExperience with Claude (Anthropic) or similar LLMs for building agentic workflows and intelligent automation.Familiarity with cloud platforms such as AWS, Azure, or GCP.Knowledge of containerization tools like Docker and orchestration frameworks like Kubernetes.Exposure to REST APIs and microservices architecture.Experience with workflow orchestration tools (e.g., Airflow).What We OfferOpportunity to work on cutting-edge data and AI-driven solutions.Collaborative and innovative work environment.Competitive compensation and benefits.Continuous learning and professional development opportunities.
