Sr. Feature Engineer

Key Responsibilities

• Lead the design and implementation of scalable ETL/ELT pipelines and data architecture
• Define best practices and standards for data engineering, code quality, and performance optimization
• Own end-to-end delivery of data pipelines, ensuring reliability, scalability, and maintainability
• Build and optimize frameworks for data ingestion, transformation, and processing of large datasets
• Drive implementation of CI/CD and DevOps practices across data engineering workflows
• Oversee automation for data pipeline deployment, monitoring, and alerting
• Collaborate with business and technology stakeholders to translate requirements into scalable solutions
• Mentor and guide junior engineers; conduct code reviews and provide technical leadership
• Lead troubleshooting, root cause analysis, and performance tuning across data platforms

Must-Have Skills

• Strong hands-on experience in Python and SQL with the ability to guide others
• Deep understanding of data engineering concepts (ETL/ELT, data modeling, warehousing)
• Proven experience designing and leading production-grade data pipelines and platforms
• Strong exposure to DevOps practices and tools (Git, CI/CD pipelines, Jenkins, Docker)
• Experience with system design, scalability, and performance optimization
• Strong problem-solving skills with ownership mindset