Join our satellite team as a Data Engineer responsible for building and maintaining the entire data flow, transformation, storage, processing, and archival infrastructure for satellite telemetry (TM) and payload (PL) data. You’ll play a critical role in developing robust backend engines to support payload analytics, mission operations and antenna tracking algorithms.
Key Responsibilities
1. Satellite Data Analysis:
- Orbit Estimation & Pass Prediction
- Payload Data Processing
3. Data Warehouse & Timeseries Management
- Architect and manage a unified satellite data warehouse for:
- TM: Telemetry
- TC: Telecommand logs
- PL Raw: Unprocessed payload data
- PL Processed: Analytics-ready, localized payload results
- Implement and optimize timeseries storage (e.g., TimescaleDB or equivalent open-source DB), handling high-volume ingest, retention policies, and storage cost controls.
- Setup long-term backup and restore logic for all critical datasets with tested disaster-recovery procedures.
4. Data Integration Pipelines
- Collaborate with the engineering team to design and develop custom plugins for encoding, decoding and storing satellite data.
5. Data Governance, Security & Compliance
- Implement and monitor robust data validation, quality checks, and schema evolution for all ingested datasets.
- Establish strict data retention schedules, historical playback mechanisms, and backup strategies.
- Ensure data security: manage encryption in transit and at rest, control access privileges, and maintain audit trails.
6. Analytics Enablement & Reporting
- Expose clean, queryable interfaces for satellite operations teams, mission planners, and analytics applications.
- Enable fast asset search, forecast generation, and bulk historical downloads (e.g., CSV).
- Support the payload UI frontend with reliable and performant data APIs.
7. Automation & Monitoring
- Develop high-availability ETL and data transformation services for raw and processed data.
- Set up proactive monitoring, alerting, and logging for data pipeline health and storage usage.
- Continuously improve system performance, scalability, and resilience to failures.
8. Documentation & Collaboration
- Maintain comprehensive technical documentation of data models, pipelines, and operational guidelines.
- Work cross-functionally with software engineers, satellite operations, and payload teams.
Requirements
- MCA/B.E./B.Tech/M.Tech in Computer Science, Aerospace/Electronics Engineering, Data Science, or relevant field.
- Programming: Python and/or Java; advanced SQL; experience with at least one time-series or analytical DBMS (e.g., TimescaleDB, InfluxDB, PostgreSQL, MongoDB).
- ETL/Data Pipelines: Experience with building and managing real-time and batch ETL/ELT workflows for large data volumes.
- Orbit Determination (preferred): Proven experience with satellite dynamics, SGP4/TLE models, or astrodynamics libraries (e.g., Orekit, GMAT) is a strong plus.
- Geospatial/Localization (preferred): Familiar with georeferencing payload data, GIS libraries (e.g., GDAL, GeoPandas), and map projections.
- DevOps: Comfortable with Docker, Linux-based deployments, systemd services, and automated backup/cron.
- Data Security: Implementing encryption, secure protocols (TLS/HTTPS), secure file systems, and user access controls.
- Testing & Monitoring: Experience with test-driven development, continuous data validation, and pipeline monitoring tools.
- Strong data analytics, problem-solving, and system optimization skills.
- Ability to distill and document complex workflows.
- Able to work independently and proactively in a mission-critical environment.
- Familiarity with satellite data analysis and GIS is a plus.
- Experience with processing/backup/restore of large data volumes, long-term archival.
- Kubernetes or container orchestration experience.
- Familiarity with object storage solutions.
Benefits
We offer great career growth, ESOPs, Gratuity, PF and Health Insurance.