Data Engineer

Digitraly; Chennai; On-site; INR 223,200 - 334,800; Full time

Job summary

An IT consultancy in Chennai is seeking two motivated interns for a 6-month full-time internship. The positions involve hands-on experience in building a next-generation SaaS platform, focused on data engineering and scalable system design. Responsibilities include managing data pipelines, implementing ETL workflows, and ensuring clean validated datasets. Ideal candidates will have proficiency in SQL, knowledge of ETL tools, and comfort with API integrations.

Qualifications

• Proficiency in SQL required.
• Familiarity with ETL and data pipeline tools beneficial.
• Comfort with data modeling and API integrations is necessary.

Responsibilities

• Design and manage data ingestion pipelines.
• Build and maintain core schema for SaaS applications.
• Implement ETL workflows and data transformation.

Skills

Proficiency in SQL (MS SQL or PostgreSQL)

Knowledge of ETL/data pipeline tools

Comfortable with API integrations

Tools

Airflow

Azure Data Factory

Cloud platforms (e.g., Azure, AWS)

Job description

Digitraly, a Chennai-based IT consultancy with 40+ years of combined expertise, is seeking two motivated interns for a 6-month full-time internship with our core engineering team. The roles focus on building a next-generation SaaS platform powered by GenAI and data-driven intelligence, offering hands-on experience in data engineering, pipeline development, and scalable system design, with potential pre-placement offers.

Responsibilities:

• Design and manage data ingestion pipelines from multiple providers and APIs.
• Build and maintain core schema for multi-tenant SaaS applications.
• Ensure scalable, clean, validated datasets for downstream analytics.
• Implement ETL workflows, data transformation, and dashboards.

Core Requirements:

• Proficiency in SQL (MS SQL or PostgreSQL) and schema design.
• Knowledge of ETL/data pipeline tools (e.g., Airflow, Azure Data Factory).
• Comfortable with API integrations and data modeling.

Additional Skills That Add Value:

• Experience with cloud platforms (e.g., Azure, AWS).
• Familiarity with multi-tenant SaaS architecture.
• Exposure to production-grade AI systems or scalable data systems.