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Mid-level big-data role in Bangalore with common Spark/Scala skills and moderate brand attracts many applicants.
Big-data engineering skills are transferable across industries but Scala/Spark stack increases domain specificity.
Mandatory 2–3 years and specific Scala/Spark/Kafka stack enforces strict technical filters.
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Develop and test code related to the Octoflow project for network flows mapping and certification following SDLC and Agile principles.
Collaborate with other development teams to define and implement APIs and data access rules.
Maintain and support data models, pipelines, and metadata standards; perform release validations and automate testing frameworks.
2-3 years of hands-on experience in software development.
Proficiency in Scala and Shell scripting languages.
Experience with data processing technologies like Spark and SQL.
Experience with Big Data tools such as Hadoop, Kafka, and databases including PostgreSQL and Hive.
Experienced in Agile software development with end-to-end SDLC ownership in a collaborative environment.
Skilled in big data ecosystem including API development and data pipeline management.
Capable of working in an international and cross-functional team environment with rigor in security and quality standards.