Data Engineer-1496

Nitor; Pune District; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Nitor in Pune, India is seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and modern data platforms. You will enable analytics, reporting, and informed business decisions through robust data solutions.

The ideal candidate has 7+ years in data engineering, deep SQL and Python expertise, strong Snowflake experience, and a solid ETL/ELT background. Exposure to Agentic AI concepts and SCM data is a plus.

Qualifications

• 7+ years of hands-on experience in Data Engineering and Data Warehousing.
• Strong expertise in SQL with experience in complex query optimization and performance tuning.
• Proficiency in Python for data engineering, automation, and scripting.
• Extensive experience with Snowflake, including data modeling, performance optimization, and security features.
• Solid knowledge of ETL/ELT concepts, data integration, and data transformation frameworks.
• Experience designing scalable data pipelines and data warehouse solutions.
• Strong understanding of data quality, governance, and best practices.
• Experience working in Agile development environments.

Responsibilities

• Design, develop, and optimize scalable ETL/ELT pipelines for ingesting, transforming, and loading data from multiple sources.
• Build and maintain enterprise-grade data solutions using Snowflake and cloud-based architectures.
• Develop high-performance SQL queries, stored procedures, and data models to support analytics and reporting.
• Write efficient, production-ready Python code for data processing, automation, and orchestration.
• Implement data quality checks, validation frameworks, and monitoring processes to ensure data accuracy.
• Collaborate with stakeholders, analysts, and architects to understand data requirements and deliver solutions.
• Optimize data warehouse performance, storage, and query execution within Snowflake.
• Troubleshoot and resolve data pipeline issues, ensuring high availability and performance.
• Participate in architecture discussions, code reviews, and technical design sessions.
• Maintain technical documentation, data lineage, and best practices for data engineering.

Skills

SQL

Python

Snowflake

ETL/ELT

Data Warehousing

Agile

Education

Bachelor's or Master's in Computer Science/IT/Engineering

Job description

We are seeking an experienced and highly skilled Senior Data Engineer to design, develop, and maintain scalable data pipelines and modern data platforms. The ideal candidate will have strong expertise in SQL, Python, Snowflake, and ETL development, with a passion for building robust data solutions that support analytics, reporting, and business decision-making. Exposure to Agentic AI concepts and Supply Chain Management (SCM) processes will be an added advantage.

Key Responsibilities

• Design, develop, and optimize scalable ETL/ELT pipelines for ingesting, transforming, and loading data from multiple sources.
• Build and maintain enterprise-grade data solutions using Snowflake and cloud-based data architectures.
• Develop high-performance SQL queries, stored procedures, and data models to support analytics and reporting requirements.
• Write efficient, reusable, and production-ready Python code for data processing, automation, and orchestration.
• Implement data quality checks, validation frameworks, and monitoring processes to ensure data accuracy and reliability.
• Collaborate with business stakeholders, data analysts, architects, and cross-functional teams to understand data requirements and deliver solutions.
• Optimize data warehouse performance, storage, and query execution within Snowflake.
• Troubleshoot and resolve data pipeline issues, ensuring high availability and performance.
• Participate in architecture discussions, code reviews, and technical design sessions.
• Maintain technical documentation, data lineage, and best practices for data engineering processes.
• Stay updated with emerging technologies and recommend improvements to the data ecosystem.

Mandatory Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 7+ years of hands-on experience in Data Engineering and Data Warehousing.
• Strong expertise in SQL with experience in complex query optimization and performance tuning.
• Proficiency in Python for data engineering, automation, and scripting.
• Extensive experience working with Snowflake, including data modeling, performance optimization, and security features.
• Strong knowledge of ETL/ELT concepts, data integration, and data transformation frameworks.
• Experience designing and implementing scalable data pipelines and data warehouse solutions.
• Strong understanding of data quality, governance, and best practices.
• Experience working in Agile development environments.

Good-to-Have Skills

Agentic AI

• Understanding of Agentic AI frameworks and AI-powered workflow automation.
• Exposure to AI agents, LLM orchestration, retrieval systems, or intelligent automation solutions.
• Experience integrating AI-driven capabilities into enterprise data platforms is a plus.

Supply Chain Management (SCM)

• Understanding of Supply Chain Management processes, including procurement, inventory, logistics, demand planning, and order management.
• Experience working with supply chain data models, KPIs, and reporting requirements is preferred.