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High: Tier-1 brand, Bangalore metro, generic senior SDE title, broad data/platform skill requirements.
Medium: core data engineering skills transfer broadly, but large-scale e-commerce data workflows add domain specificity.
High: mandates large-scale data systems, specific big-data stack, cloud-native and backend technologies.
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Architect, develop, and maintain backend services and distributed systems for large-scale data collection, processing, and reporting workflows.
Design and optimize ETL pipelines, ensuring the platform's reliability, scalability, and data quality with proactive incident management.
Collaborate globally across engineering, product, and analytics teams; contribute to technical best practices, release management, and mentorship.
Proficiency in backend development using Java (Spring Boot), Groovy, Python, Spark, and Hadoop.
Experience with databases including MongoDB, MySQL, Oracle, and big data solutions like Hive; ETL pipeline design expertise.
Bachelor’s or advanced degree in Computer Science, Software Engineering, or related fields.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building and scaling large-scale data analysis workflows and inventory mapping systems in cloud-native environments.
Skilled in incident management, code review coordination, release verification, and supporting global cross-functional teams.
Strong background in distributed systems, backend engineering, and analytics platform development conducive to technical mentorship and process optimization.