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Design, deploy, and operate production-scale data platforms within isolated, air-gapped environments. Manage end-to-end data pipelines, including ingestion, transformation, and troubleshooting without cloud dependency.
Requirements
Requires 5+ years of experience in data engineering with strong proficiency in Python, SQL, Airflow, Spark, and PostgreSQL. Must have hands-on experience with containerization and managing infrastructure in restricted-network environments.
Full job description
We're hiring a Data Engineer (5+ years) to independently design, deploy, 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
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 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
Related keywords
Data EngineeringApache AirflowApache SparkPostgreSQLDockerPythonSQLMinIOGeospatialTime-seriesAir-gappedData PipelinesTimescaleDBPostGISDuckDBDocker Compose
Transforming Visionary Ideas into Market-Ready Solutions
Industry
IT Services and IT Consulting
Company size
51-200 employees
Founded
2012
Headquarters
Palo Alto, CA
LinkedIn followers
15,444
Spark Eighteen is the brainchild of innovative minds that leverages best creative and digital practices to give your brand what it needs.
With proven expertise across a stack of technologies, we offer end-to-end development solutions, giving you more time to focus on your business macros.
Capabilities:
Product Development
Artificial Intelligence and Automation
UI UX Design
Website/App Development
Offshore Development
Digital Marketing
Branding & Packaging
Offices: Palo Alto, CA 94601, US · Maharashtra , Pune, IN · Building No. 82, Lower Ground, Okhla Industrial Area Phase III, New Delhi, Delhi 110020, IN · 106, Ground Floor, Vikas Center, Swami Vivekananda Road, BEST Colony, Santacruz West, Mumbai, Maharashtra 400047, IN · Rajasthan, Udaipur, IN
Digital Media MarketingWeb Development and MaintenanceUI/UX DesignDesign ThinkingSoftware DevelopmentDigital TransformationFrontend Engineering Product ConsultingProduct DesignApp Development
How many Data & Analytics jobs are open in Delhi, India right now?
There are currently 80 open data & analytics positions in Delhi, India listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Delhi, India?
Companies currently hiring include Council on Energy, Environment and Water (CEEW), Spark Eighteen, CivicDataLab, Mobavenue, Together Light Incorporated, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Delhi, India?
Yes — 16 of the 80 open data & analytics positions offer remote or hybrid work (7 remote, 9 hybrid).
How do I apply for Data & Analytics jobs in Delhi, India?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.