We are seeking a Data Engineer with 5+ years of experience in data architecture, ETL, BI, and analytics. The ideal candidate should have strong problem-solving and analytical skills, experience working in fast-paced production environments, and the ability to communicate effectively with technical and non-technical stakeholders. AWS and healthcare industry experience are preferred.

Requirements

• 5+ years of qualified software engineering experience, with a strong focus on data architecture and BI systems

• Build and maintain ETL pipelines, data transformations, and data models to support reporting and analytics

• Design and develop BI dashboards and reports that translate data into business insights

• Strong programming skills in Python or Java

• Strong relational database skills, including schema design, scalability, and SQL for querying and extracting data

• Solid understanding of data concepts including ETL, data structures, metadata management, and workflow orchestration

• Experience solving complex data and technology problems in production environments





• Experience with AWS

• Experience with Agile methodologies (Scrum, Kanban) and bug tracking tools such as JIRA

• Comfortable working in a fast-paced environment with enterprise-grade release cycles and short, iterative SaaS product cycles

• Healthcare industry experience, with familiarity with HIPAA, SOC, and HITRUST compliance requirements

• Strong analytical skills with a detail-oriented mindset

• Strong communication skills, able to translate data-driven insights and technical approaches for technical and non-technical stakeholders

• B.S. in Computer Science, Engineering, or a related field

Benefits

• Comprehensive insurance coverage that gives you peace of mind, so you can focus on doing your best work

• Flexible work arrangements designed to support sustained productivity, personal well-being, and work-life balance

• Continuous learning and accelerated skill development through hands

📌 Data Engineer (New Delhi)
🏢 spark eighteen
📍 New Delhi