Data Engineer - Senior

GKM IT; New Delhi; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Comprehensive insurance coverage

Flexible work arrangements

Continuous learning and mentorship

Global client exposure across 20+ coun

High-impact, large-scale projects with

Competitive compensation packages

Monthly demo days

Annual recognition programs

Referral bonuses

Strong problem-solving culture

People-first workplace

Job summary

GKM IT is seeking a Data Engineer to independently design, deploy, and operate production-scale data platforms in fully air-gapped, secure customer environments with no cloud dependency. The role emphasizes manual deployment and troubleshooting in isolated environments, working with Airflow, Spark, PostgreSQL, Docker, Python, SQL, and MinIO-compatible storage.

You will own end-to-end infrastructure, develop data pipelines, ensure data quality, and provide robust technical documentation.

Qualifications

• 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

Responsibilities

• Own and operate end-to-end data platforms in air-gapped environments.
• Design, deploy, and troubleshoot production-grade data pipelines and workloads.
• Collaborate with customer teams to translate business requirements into data products.
• Maintain data quality, lineage, observability, performance, and SLA compliance.

Skills

Python

SQL

Airflow

Spark

Geospatial data

Time-series data

Ubuntu

On-premise infrastructure

Communication skills

Problem solving

Tools

Docker

Docker Compose

PostgreSQL

TimescaleDB

PostGIS

DuckDB

MinIO

Airflow deployment

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