Job Description

📍 Locations: Chennai | Bangalore | Hyderabad | Pune
🕒 Shift Time: 2:00 PM – 11:00 PM IST
💼 Experience: 6 – 12 Years
🚀 Joining: Immediate Preferred

🎯 Role Overview

We are seeking an experienced Lead Dataiku Developer with strong expertise in Dataiku, Python, and SQL to design and optimize scalable data pipelines and analytics workflows.

The ideal candidate will work closely with data engineers, analysts, and business stakeholders to deliver robust, production-ready data solutions.

🔹 Key Responsibilities

🏗️ Data Pipeline Development

• Design, develop, and maintain end-to-end data pipelines in Dataiku
• Build scalable data workflows and automation processes
• Operationalize data products for production environments

🐍 Python Development

• Write efficient, reusable Python scripts for data processing
• Automate data validation and transformation workflows
• Optimize performance for large datasets

🗄️ SQL & Data Engineering

• Develop and optimize complex SQL queries
• Perform data extraction, transformation, and validation
• Implement data quality checks and governance standards

🤝 Collaboration & Support

• Collaborate with cross-functional teams to gather requirements
• Participate in solution design discussions
• Support production deployments and resolve workflow issues
• Troubleshoot performance bottlenecks in pipelines

🔴 Required Skills

• Strong hands-on experience with Dataiku platform
• Advanced programming skills in Python
• Strong SQL development and query optimization expertise
• Solid understanding of:
  • Data Warehousing concepts
  • ETL / ELT processes
• Experience with cloud data platforms:
  • AWS
  • Azure
  • GCP
• Good understanding of:
  • Data governance
  • Data quality best practices

🌟 Ideal Candidate Profile

• Strong leadership and ownership mindset
• Experience handling production-grade data systems
• Problem-solving oriented
• Excellent collaboration and communication skills
• Comfortable working in afternoon shift (2 PM – 11 PM IST)

🎯 Why Join?

• Opportunity to work on enterprise-scale data platforms
• Exposure to cloud-based analytics ecosystems
• Cross-functional collaboration with analytics & engineering teams
• Leadership-level role with architectural impact