SDE - III (Data Platform)

Role Overview: Digantara is a leading Space Surveillance and Intelligence company focused on ensuring orbital safety and sustainability. With expertise in space-based detection, tracking, identification, and monitoring, Digantara provides comprehensive domain awareness across all regimes, enabling end-users to gain actionable intelligence on a single platform. At the core of its infrastructure lies a sophisticated integration of hardware and software capabilities aligned with the key principles of situational awareness: perception(data collection), comprehension (data processing), and prediction(analytics). This holistic approach empowers Digantara to monitor all Resident Space Objects(RSOs) in orbit, fostering comprehensive domain awareness. Key Responsibilities: - Design, build, and maintain end-to-end data pipelines spanning ingestion, transformation, validation, and enrichment workflows. - Develop and operate Apache Airflow-based orchestration systems integrating satellite tracking, sensor, and external data sources. - Own PostgreSQL data architecture, including schema design, migrations, indexing strategies, and query optimization. - Build dataset delivery and access layers through backend services, APIs, and customer-facing data interfaces. - Ensure secure, reliable, and scalable data delivery aligned with deployment constraints and service-level requirements. - Manage containerized deployments using Docker and support CI/CD workflows across cloud environments. - Monitor platform health, performance, and reliability through observability and dashboarding solutions. - Troubleshoot performance bottlenecks across pipelines, databases, storage systems, and compute infrastructure. - Maintain high engineering standards through testing, documentation, and continuous improvement of platform capabilities. Qualifications: - 5+ years of experience developing and operating production-grade data platforms. - Strong proficiency in Python for backend and data engineering applications. - Hands-on experience with Apache Airflow for workflow orchestration and pipeline management. - Advanced knowledge of PostgreSQL, including schema design, indexing, query optimization, partitioning, and high-availability architectures. - Experience designing and building REST APIs for data access and system integrations. - Familiarity with Docker and modern CI/CD practices. - Experience working with storage systems such as NFS and object storage platforms. - Proficiency with Git and collaborative development workflows. Additional Company Details (if available): - Job Location: Hebbal, Bengaluru Role Overview: Digantara is a leading Space Surveillance and Intelligence company focused on ensuring orbital safety and sustainability. With expertise in space-based detection, tracking, identification, and monitoring, Digantara provides comprehensive domain awareness across all regimes, enabling end-users to gain actionable intelligence on a single platform. At the core of its infrastructure lies a sophisticated integration of hardware and software capabilities aligned with the key principles of situational awareness: perception(data collection), comprehension (data processing), and prediction(analytics). This holistic approach empowers Digantara to monitor all Resident Space Objects(RSOs) in orbit, fostering comprehensive domain awareness. Key Responsibilities: - Design, build, and maintain end-to-end data pipelines spanning ingestion, transformation, validation, and enrichment workflows. - Develop and operate Apache Airflow-based orchestration systems integrating satellite tracking, sensor, and external data sources. - Own PostgreSQL data architecture, including schema design, migrations, indexing strategies, and query optimization. - Build dataset delivery and access layers through backend services, APIs, and customer-facing data interfaces. - Ensure secure, reliable, and scalable data delivery aligned with deployment constraints and service-level requirements. - Manage containerized deployments using Docker and support CI/CD workflows across cloud environments. - Monitor platform health, performance, and reliability through observability and dashboarding solutions. - Troubleshoot performance bottlenecks across pipelines, databases, storage systems, and compute infrastructure. - Maintain high engineering standards through testing, documentation, and continuous improvement of platform capabilities. Qualifications: - 5+ years of experience developing and operating production-grade data platforms. - Strong proficiency in Python for backend and data engineering applications. - Hands-on experience with Apache Airflow for workflow orchestration and pipeline management. - Advanced knowledge of PostgreSQL, including schema design, indexing, query optimization, partitioning, and high-availability architectures. - Experience designing and building REST APIs for data access and system integrations. - Familiarity with Docker and modern CI/CD pract