Data Engineer - AI-Driven Data Platforms- job post Spark Eighteen

Benefits
Pulled from the full job description

Health insurance
 
Full job description
Job Information
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
Job Description
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. Strong 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.

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
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
Experience with geospatial and time-series data
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