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sparkeighteen

Data Engineer - AI-Driven Data Platforms

New Delhi · Senior

Expect moderate competitionVerified listingPosted 24d ago

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64Skills
97Experience

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Skills required

9 listed
Relational DatabasesData StructuresExtract Transform Load (ETL)Amazon Web ServicesPython (Programming Language)Java (Programming Language)SQL (Programming Language)Scrum (Software Development)+1 more
Relational DatabasesData StructuresExtract Transform Load (ETL)Amazon Web ServicesPython (Programming Language)

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Job description

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

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All Data Engineer jobs in New Delhi

Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

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Join WhatsAppJoin Telegram

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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