Data Scientist - Space Division

Bangalore, Karnataka
Permanent
Full-time

1 month ago
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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 Responsibilities1. 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.

BenefitsWe offer great career growth, ESOPs, Gratuity, PF and Health Insurance.

Astrome Technologies