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Spark Eighteen

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Data Engineer - AI-Driven Data Platforms

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Summary

Data Engineer at Spark Eighteen in New Delhi building and maintaining ETL pipelines, data transformations, data models, and BI dashboards on AWS to power reporting and analytics. Requires 5+ years in data architecture/BI with strong Python or Java and SQL skills; AWS and healthcare (HIPAA/HITRUST) experience preferred.

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 professional 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
  • Tax-saving initiatives such as Corporate NPS to support employees in optimising their tax benefits.
  • Flexible work arrangements designed to support sustained productivity, personal well-being, and work-life balance
  • Continuous learning and accelerated skill development through hands-on projects and mentorship from experienced industry leaders
  • Global client exposure across 20+ countries, offering real-world experience with diverse markets and business environments.
  • Opportunity to work on high-impact, large-scale projects that have collectively generated over $1B in measurable business value
  • Competitive, market-aligned compensation packages that recognize performance, expertise, and long-term contribution
  • Monthly demo days that celebrate innovation, showcase your work, and give you a real voice in what we build
  • Annual recognition programs and performance-driven awards in a truly meritocratic environment
  • Referral bonuses that reward you for helping grow a strong, like-minded team
  • A strong problem-solving culture with opportunities to tackle meaningful, real-world challenges
  • A positive, people-first workplace that supports happiness, balance, and long-term growth


Skills

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See also

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