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Homeโ€บCompaniesโ€บspark eighteenโ€บData Engineer Secure / Air-Gapped Environments (New Delhi)
SE

Data Engineer Secure / Air-Gapped Environments (New Delhi)

๐Ÿ“LOCATIONDelhi
๐Ÿ“ˆEXPERIENCE5 to 9 Yrs
๐Ÿ•˜TYPEFull time
๐ŸฅIndustryIT Services & Consulting
๐Ÿ—“POSTED25 Jul 2026

01Overview

We are hiring a Data Engineer (5+ years) with expertise in building and managing production-scale data platforms in secure, air-gapped environments. The ideal candidate should have 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. This role requires end-to-end ownership of data pipelines, infrastructure deployment, and troubleshooting in isolated environments without cloud dependencies. Requirements - 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 within isolated environments - 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 environments - 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 - Solid 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 .

02What you'll need

Experience
5 to 9 Yrs
Employment Type
Full time
Programming languages
SparkPostgreSQLDockerPythonSQLgeospatial dataApache AirflowS3compatible storageMinIOtimeseries data

03About SPARK EIGHTEEN

IT Services & ConsultingIndustry
Full timeEmployment Type
DelhiLocation
Not Disclosed ยท salary hidden by employer
5 to 9 Yrs ยท Delhi
Applications are reviewed directly by the hiring team.
Role Snapshot
Work ModeNot specified
Visa SponsorshipNot specified
RelocationNot specified
Job TypeFull time
SE
SPARK EIGHTEEN
IT Services & Consulting
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