Senior Data Engineer

JOB TITLE: Senior Data Engineer COMPANY: NeuLeap AI LOCATION: Bengaluru / Hyderabad / Pune EMPLOYMENT TYPE: Full Time EXPERIENCE REQUIRED: 4–6 Years CTC: ₹14–22 LPA JOB DESCRIPTION NeuLeap AI is hiring an experienced Senior Data Engineer to take ownership of complex data engineering initiatives and help build enterprise-scale data platforms. This role is designed for professionals who have strong hands-on experience with cloud-based data architectures and enjoy working on high-performance data systems that power analytics, machine learning, and business intelligence. As a Senior Data Engineer, you will lead the design and optimization of data pipelines, mentor junior engineers, and collaborate closely with analytics, AI, and product teams. You will also play a key role in driving the adoption of modern data engineering practices, including the use of Generative AI to improve efficiency, scalability, and observability across data workflows. This position requires deep technical expertise, architectural thinking, and the ability to guide teams while delivering reliable and scalable data solutions. KEY RESPONSIBILITIES - Lead design and optimization of data pipelines and ETL workflows - Architect cloud-based data platforms on AWS or Azure - Build and optimize Spark and PySpark jobs for large-scale data processing - Design data models for analytics, reporting, and machine learning use cases - Ensure data security, governance, and compliance best practices - Integrate orchestration tools such as Airflow into end-to-end workflows - Mentor junior data engineers and conduct code reviews - Collaborate across teams to deliver high-quality data solutions - Apply Generative AI techniques to improve data engineering workflows SKILLS REQUIRED - Data engineering fundamentals - Cloud platforms (AWS or Azure) - Spark and PySpark - Data pipelines and ETL/ELT - Data modeling and warehousing - Airflow and workflow orchestration - SQL and large-scale data processing - Generative AI for data engineering - System optimization and scalability - Technical leadership and mentoring PREFERRED QUALIFICATIONS - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field - Hands-on experience with AWS Glue, Redshift, EMR, Azure Synapse, or Databricks - Experience leading or owning data engineering projects - Exposure to GenAI use cases such as RAG, AI-driven debugging, or test data generation WHY NeuLeap AI - Work on enterprise-scale data platforms and AI-driven systems - High-impact role with ownership and technical leadership - Strong engineering culture and mentorship opportunities - Competitive compensation and clear growth path