Live opening · Posted 5 days ago

Data Engineer - Senior

Spark Eighteen · New Delhi, Delhi, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanySpark Eighteen
LocationNew Delhi, Delhi, India (On-site)
Work modeNo
SourceLinkedin
Listed5 days ago

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About the role

Description supplied by the original job listing.

We're hiring a Data Engineer (7+ years) to design deploy independently, and operate production-scale data platforms in fully air-gapped, secure customer environments - no cloud dependency, with manual deployment and troubleshooting expected. The ideal candidate has hands-on experience with Apache Airflow, Spark, PostgreSQL, Docker, Python, SQL, and S3-compatible storage (MinIO), along with strong knowledge of geospatial and time-series data, and is comfortable owning infrastructure end-to-end without managed cloud services - from data pipelines to deployment to troubleshooting in fully isolated environments.
Requirements
7+ 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 within isolated environment.
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 efficient data ingestion, transformation, and bulk-loading pipelines without external connectivity
Containerize and deploy applications using Docker and Docker Compose in air-gapped environments
Work with S3-compatible object storage (e.g., MinIO) for on-prem data storage
Proven experience deploying via Docker/Docker Compose in air-gapped or restricted-network environment.
Comfortable working in Ubuntu-based environments with manual/local infrastructure management
Strong proficiency in Python, SQL, Airflow, Spark, and PostgreSQL
Experience with geospatial and time-series data
Collaborate with customer teams to translate business requirements into data products
Ensure data quality, lineage, observability, performance, and SLA compliance
Troubleshoot production issues on-site/remotely without cloud tooling support
Create and maintain technical documentation, data models, and operational 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

Work arrangement
No

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