Software Engineer

Job Description

Primary Skills - Oracle SQL, Python, PySpark, Snowflake, ReactJS

Claude (good to have for building agentic workflows)

Job Title: Full Stack Data Engineer (Python, PySpark, Snowflake, ReactJS)

About The Role

We 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 Responsibilities

• Design, 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 & Qualifications

• Strong 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 Have

• Experience 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 Offer

• Opportunity 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.
  
  

Qualifications

B.E/B Tech

Range Of Year Experience-Min Year

3

Range Of Year Experience-Max Year

5