Data Engineer 2

Overview

Data Engineer 2 will build production-ready enterprise data solutions using AI and automation, translating business needs into technical requirements.

What you'll do

• Design and implement complete ETL/ELT workflows.
• Build and modify CI/CD pipelines for data processing workflows.
• Develop native data ingestion capabilities from APIs, databases, and file systems.
• Implement data validation, error handling, and monitoring in production pipelines.
• Incorporate AI and automation patterns to improve efficiency and scalability.
• Translate business requirements into data engineering solutions and collaborate in scrum/agile.
• Design data models and data integration patterns, including cloud-based data solutions.

What you'll need

• Bachelor’s degree in a quantitative discipline such as Computer Science, Information Systems, Mathematics, or Statistics.
• 2–5 years of experience in data engineering, data development, or related technical fields.
• Proven production experience building ETL/data pipelines.
• Experience with agile development methodologies and cross-functional teams.
• Intermediate Python skills including decorators, generators, and design patterns.
• Solid SQL proficiency with query optimization and performance tuning.
• Experience with data orchestration platforms such as Airflow, Azure Data Factory, or SSIS.

Details

• On-site location: Bengaluru, KA.
• Scheduled weekly hours: 40.