Spark Eighteen
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Delhi · On-site · 5-8 Yrs · Aug 20
Software Development · 51 to 200 Employees · New Delhi, India
Founded over 12 years ago with a simple belief: every ambitious vision deserves world-class technical execution. We started Spark Eighteen because we saw too many brilliant ideas fail not from lack of vision, but from inadequate technical partnership. Since our bootstrapped beginning, we've grown into the go-to technology partner for companies that think beyond just building—they build to scale, build to exit, build to transform entire industries. We've contributed over $1 billion in revenue to our clients' products and helped orchestrate successful acquisitions including Live Objects to Zuora and Glide Health to McKesson. We serve three core customer types: early-stage startups needing rapid MVP-to-market execution, growth companies scaling from Series A to acquisition, and Fortune 500 enterprises driving digital transformation. Whether it's a healthcare startup revolutionizing patient care or a fintech company reshaping financial services, we become their strategic technical co-founder—minus the equity. What sets us apart? We don't chase contracts—we build relationships. Our quality-first development philosophy means we're obsessed with creating architectures that don't just work today, but attract partnerships tomorrow. We've learned that sustainable success comes from genuine partnership, not vendor relationships. As a profitable, bootstrapped company, we've maintained our startup agility while building enterprise-grade solutions. Our team brings a global perspective from building across 20+ countries, yet we stay true to our core belief: the best technology partnerships feel less like outsourcing and more like adding the perfect technical co-founder to your team. Every partnership begins with a 2-week proof-of-concept because we believe the right technical partner can make the difference between a good product and an acquisition target.
Hiring: Engineering
What employees say
+ Good environments , Time to imporve one self
− Need lead for Data Science
More reviews on the company profile.
Interview experience · QA Lead
Their are 3 technical rounds and 1 HR round (Screening round of 30 min). My profile was being forwarded by a recruiting agency after an initial technical screening. Frankly speaking the interviewer doesn't know the param
Average difficulty · New Delhi · 2 reports
More interview insightsJob description
Overview
- Number of Positions 1 - Date Opened 07/22/2026 - Industry IT Services - Job Type Full time - Department Engineering - Work Experience 5-7 years - City New Delhi - State/Province Delhi - Zip/Postal Code 110017 - Country India
Responsibilities
- We are seeking a Data Engineer with 5+ years of experience to build and scale data platforms powering AI-driven analytics on high-volume sensor, satellite, and third-party data. The ideal candidate will have expertise in designing and managing scalable batch and real-time data pipelines using Apache Airflow, Apache Spark, Kafka, Python, and SQL. Robust
- experience with PostgreSQL, TimescaleDB, PostGIS, cloud-based data lake architectures, and geospatial/time-series data is essential. The role involves owning data pipelines end-to-end from real-time ingestion to analytics- while ensuring data quality, performance, observability, and reliability in a cloud-native environment. Strong stakeholder management, problem-solving, and collaboration skills are key to delivering impactful data products and analytical solutions.
Qualifications
- City New Delhi
- State/Province Delhi
- Zip/Postal Code 110017
- Country India
- 5+ years of experience in Data Engineering and production-scale data platforms
- Design and manage Apache Airflow pipelines for high-volume sensor, satellite, and third-party data ingestion
- Build and optimize Apache Spark workloads for batch processing, geospatial analytics, and large-scale aggregations
- Develop and maintain PostgreSQL, TimescaleDB, PostGIS, and DuckDB-based data solutions
- Implement Kafka-based streaming pipelines for real-time data ingestion
- Work with Object Storage (AWS S3 or equivalent) for scalable data lake architecture
- Strong proficiency in Python, SQL, Airflow, Spark, and PostgreSQL
- Comfortable working in Ubuntu-based environments
- Collaborate with customer teams to translate business requirements into data products and analytical solutions
- Ensure data quality, lineage, observability, performance, and SLA compliance
- Troubleshoot production issues and optimize pipeline, database, and query performance
- Create and maintain technical documentation, data models, and run-books
- Strong communication, stakeholder management, and problem-solving skills
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-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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