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Entry-level, generalist SDE data role in Bangalore with common skillset increases candidate competition.
Data engineering skills like pipelines, SQL, and ETL are highly transferable across industries.
Moderate due to requested data engineering skills and tooling but flexible experience expectations and learning emphasis.
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Collaborate with stakeholders to design, test, and implement data products, systems, and platforms primarily on Risk Platform services including data ingestion, processing, enrichment, and serving.
Develop and maintain automated CI/CD pipelines and cloud-based infrastructure as code for big data platforms, ensuring reliable and scalable risk-related data solutions.
Support live data systems with monitoring, incident response, and continuous improvement while adhering to software development best practices like TDD, BDD, and microservice architecture.
Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent demonstrable experience.
Work Experience Required: 1 year of software engineering experience is a plus, but not strictly mandatory.
Proficiency in programming languages such as Java, C#, Golang, or Python, including skills in coding, automated testing, and monitoring.
Basic understanding of data pipeline development, SQL, relational algebra, data warehousing concepts, and ETL/ELT processes.
Early-career engineer aiming to develop skills in big data, cloud technologies, and risk-related data systems within an agile environment.
Detail-oriented and collaborative individual who integrates business problem understanding into technical solutions with measurable impact.
Motivated learner eager to master modern software development practices, infrastructure automation, and large-scale data processing technologies.