Data Transformation Architect

Position Summary :

We are seeking a highly skilled ETL Developer with 5–8 years of experience in data integration, transformation, and pipeline optimization. This role is a key part of our Data Engineering function within the Business Intelligence team, responsible for enabling robust data flows that power enterprise dashboards, analytics, and machine learning models. The ideal candidate has strong SQL and scripting skills, hands-on experience with cloud ETL tools, and a passion for building scalable data infrastructure.

Education Qualification : B. Tech (CS, Elec), MCA or higher.

Key Responsibilities :

• Design, develop, and maintain ETL pipelines that move and transform data across internal and external systems.
• Collaborate with data analysts, BI developers, and data scientists to support reporting, modeling, and insight generation.
• Build and optimize data models and data marts to support business KPIs and self-service BI.
• Ensure data quality, lineage, and consistency across multiple source systems.
• Monitor and tune performance of ETL workflows, troubleshoot bottlenecks and failures.
• Support the migration of on-premise ETL workloads to cloud data platforms (e.G., Snowflake, Redshift, BigQuery).
• Implement and enforce data governance, documentation, and operational best practices.
• Work with DevOps / DataOps teams to implement CI / CD for data pipelines.

Required Qualifications :

Preferred Qualifications :

Soft Skills :

Our client is an Equal Opportunity Employer, committed to a workplace free from discrimination and harassment. Employment decisions are based on business needs, job requirements, and individual qualifications without regard to race, color, religion, gender, age, disability, sexual orientation, gender identity, marital status, military service, genetic information, or any other status protected by law.