Consultant |Fullstack Developer-Python,Snaplogic,ELT/ETL,AWS |Delhi | Data Modernization & Migration

Consultant |Fullstack Developer-Python,Snaplogic,ELT/ETL,AWS |Delhi | Data Modernization & Migration

• Location:

The Team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Your work profile

This is a hands‑on, execution‑focused opportunity for an experienced Full Stack Developer to play a critical role in building enterprise‑grade data platforms. The role is centred on delivering reliable, scalable end‑to‑end data pipelines that ingest, process, and hydrate data into the enterprise Data Lake, enabling analytics, reporting, and downstream applications.You will work closely with analysts, product partners, and platform teams to translate business needs into robust data solutions, while applying strong engineering and DevOps practices to ensure quality, reliability, and maintainability. The role requires deep technical capability, strong ownership of delivery, and the ability to operate comfortably in complex, cloud‑based data environments.

Roles and responsibilities:

• Build and maintain robust data ingestion pipelines integrating flat files, APIs, databases, and third‑party platforms

• Develop ETL/ELT workflows to ensure reliable and efficient data movement into the Data Lake

• Implement data processing and hydration across Data Lake layers (Staging, Raw, Conformed, Curated), with a strong focus on data quality and consistency

• Work extensively with cloud services to support file ingestion, storage, access controls, and data lifecycle management

• Configure, monitor, and troubleshoot data pipelines using enterprise workload orchestration and scheduling tools

• Develop reusable data views, interfaces, and APIs to support efficient data consumption

• Apply DevOps practices, including CI/CD pipelines, version control, and environment management

• Participate in code reviews, contribute to engineering standards, and ensure solutions are production‑ready

Key Skills &Competencies

• 5+ years hands‑on experience with PL/SQL and relational database development

• Proven experience developing and optimising data solutions on Snowflake