We’re passionate about building seamless digital experiences powered by robust and intelligent data systems. We’re on the lookout for a
Data Engineer - Senior
to architect and maintain high-performance data platforms that fuel decision-making and innovation.

If you enjoy designing scalable pipelines, optimising data systems, and leading with technical excellence, you’ll thrive in our fast-paced, outcome-driven culture.

You’ll take ownership of building reliable, secure, and scalable data infrastructure—from streaming pipelines to data lakes. Working closely with engineers, analysts, and business teams, you’ll ensure that data is not just available, but meaningful and impactful across the organization.

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 efficient data ingestion, transformation, and bulk-loading pipelines.
- Containerize and deploy applications using Docker and Docker Compose, including air-gapped 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 operational runbooks.
- Demonstrate strong proficiency in Python, SQL, Airflow, Spark, and PostgreSQL.
- Experience with geospatial and time-series data, S3-compatible storage, and secure customer environments.
- Robust communication, stakeholder management, and problem-solving skills.

Benefits
- Comprehensive insurance coverage tha

📌 Data Engineer (New Delhi)
🏢 spark eighteen
📍 New Delhi