Senior Software Engineer

eBay

5 - 9 years

45 - 55 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

computer science automation data analysis mysql workflow incident management oracle release management analytics python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities

Architect, develop, and maintain backend services and distributed systems driving large-scale data collection, processing, and reporting workflows.
Design and optimize ETL (Extract, Transform, Load) pipelines for a range of data sources, enabling inventory mapping, enrichment, and transformation.
Build, monitor, and troubleshoot microservices, data crawling tools, and plugins for cloud-native deployments and high system resilience.
Implement advanced extraction and mapping frameworks using modern technology stacks, ensuring data is clean, comprehensive, and actionable.
Ensure platform reliability and scalability with proactive incident response, robust monitoring, and ongoing technical upgrades.
Contribute to customer-facing portals and dashboards that support internal teams in configuring, managing, and monitoring data workflows.
Collaborate globally across engineering, product, and analytics teams (India, US, China, Europe) to deliver impactful platform features and ensure alignment on technical best practices.
Participate actively in release management, code reviews, operations, and knowledge sharing for continual improvement and technical excellence.
Guide peers in troubleshooting, system design, DevOps processes, and cloud pipeline architecture.

Required Skills Experience

Strong proficiency in backend development: Java (Spring Boot), Groovy, Python, and distributed computing frameworks such as Spark and Hadoop.
Hands-on experience with databases: MongoDB, MySQL, Oracle, as well as big data solutions including Hive and ETL pipeline design.
Familiarity with frontend technologies (HTML, JavaScript, Angular) supporting dashboard, visualization, and portal development.
Demonstrated experience in building scalable data analysis workflows, inventory mapping systems, and production monitoring solutions.
Expertise in technologies such as ElasticSearch, Kafka, Docker, Kubernetes, and Grafana.
Proven ability in incident management: code review coordination, release verification, and troubleshooting in cloud-native environments.
Experience collaborating in global, cross-functional teams and providing technical mentorship.

Desired Qualities

Detail-oriented and passionate about data quality, process optimization, and infrastructure reliability.
Proactive communicator and team contributor in fast-paced, distributed engineering organizations.
High accountability for release outcomes and data workflow accuracy.
Committed to continuous learning, technical documentation, and knowledge sharing.

Qualifications

Bachelor s or advanced degree in Computer Science, Software Engineering, or a closely related field.
Professional experience in large-scale data systems, backend software engineering, and analytics platforms.
Exposure to business data workflows, infrastructure automation, or external data aggregation is a plus.

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