Full Stack Developer

Hiring Alert on eazyway.io | Full Stack Developer

Location: Gurgaon, Haryana

Work Type: On-Site | Full-Time

Total Positions: 1

Experience: 4–9 Years

Isiri Technologies INC is looking to hire an experienced Full Stack Developer through the Eazyway Platform. This is a hands-on, execution-focused role centered on building and maintaining enterprise-grade data platforms and scalable end-to-end data pipelines.

The candidate will work closely with analysts, product partners, and platform teams to translate business requirements into reliable data solutions that support analytics, reporting, enterprise Data Lake platforms, and downstream applications.

Key Responsibilities

1. Data Ingestion & Pipeline Development

• Build and maintain robust data ingestion pipelines.

• Integrate data from flat files, APIs, databases, and third-party platforms.

• Design scalable solutions for reliable data ingestion and processing.

• Ensure data pipelines are maintainable, efficient, and production-ready.

• Troubleshoot data ingestion and pipeline-related issues.

2. ETL / ELT Development

• Develop and maintain ETL/ELT workflows for enterprise data platforms.

• Design efficient data movement processes between source systems and the Data Lake.

• Implement transformations and data-processing workflows based on business requirements.

• Optimize ETL/ELT processes for performance and reliability.

• Monitor data movement and resolve processing failures.

3. Data Lake Development

• Implement data processing and hydration across different Data Lake layers.

• Work with Staging, Raw, Conformed, and Curated data layers.

• Ensure data quality, consistency, and accuracy across Data Lake environments.

• Design data structures that support analytics and downstream applications.

• Troubleshoot data-quality and data-processing issues.

4. Snowflake & Database Development

• Develop and optimize data solutions using Snowflake.

• Work extensively with relational databases and PL/SQL.

• Develop complex SQL queries and database objects.

• Optimize database queries and data-processing workflows for performance.

• Analyze database performance and implement appropriate improvements.

5. Cloud Data Platform Development

• Work with cloud services supporting data ingestion, storage, and processing.

• Configure cloud-based file ingestion and data storage solutions.

• Implement appropriate access controls and data lifecycle management.

• Support scalable cloud-based data platform architectures.

• Troubleshoot cloud data-processing and storage issues.

Experience & Qualifications

• Experience: 4–9 years of experience in full-stack development, data engineering, or related technologies.

• Mandatory: 5+ years of hands-on experience with PL/SQL and relational database development.

• Proven experience developing and optimizing data solutions using Snowflake.

• Strong experience with SQL and relational databases.

• Experience developing ETL/ELT pipelines and data workflows.

• Experience working with enterprise Data Lake environments.

• Understanding of Data Lake layers such as Staging, Raw, Conformed, and Curated.

• Experience integrating data from files, APIs, databases, and third-party platforms.

• Experience working with cloud-based data services.

• Understanding of workload orchestration and pipeline scheduling tools.

• Experience with CI/CD, version control, and environment management.

• Strong debugging, troubleshooting, and performance-optimization skills.

• Good communication and collaboration skills.