Data Engineer

Overview

Data Engineer designing and building secure, high-performance data pipelines, repositories, and models for structured and unstructured data.

What you'll do

• Design and establish secure, performant data architectures and pipeline components.
• Analyze designs to determine coding, programming, and integration activities.
• Write and execute testing plans, protocols, and documentation for assigned data systems.
• Debug issues and create solutions for code and integration into data architecture.
• Analyze data inaccuracies and support automated solutions to improve enterprise data quality.
• Identify problematic data areas and research best actions to correct data trends and patterns.
• Collaborate cross-functionally to develop report deliverables and mentor less experienced staff.

What you'll need

• Typically 4-7 years of work experience in data analytics, data engineering, data modeling, or related fields.
• Experience in designing and supporting data pipelines, repositories, or models for structured/unstructured data.
• Experience using data visualization tools such as Minitab, Excel, Python, and Microsoft Power BI.
• Hands-on development experience with AI/GenAI solutions and automation use cases.
• Familiarity with tools such as Power Automate, Python, advanced Excel, and Power BI.
• Recommended qualification: four-year/graduate degree in CS/IT/Software Engineering/Statistics/Math or related discipline.

Details

• Location: Bengaluru, Karnataka, India.
• Employment: Full time; shift premium not applicable (India); no shift premium stated.