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Senior specialized data engineering role at established finance firm in Hyderabad attracts moderate competition.
Domain knowledge matters but core ETL, Java, and cloud skills transfer across industries moderately.
Mandatory 12 years plus Java, Azure, ETL, and platform experience imposes high shortlisting strictness.
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Design, build, and maintain large-scale, cloud-native data integration services using microservices and serverless architectures on Microsoft Azure.
Own and support mission-critical enterprise integration frameworks including Java-based import/export frameworks (Java and Pentaho Kettle) and Talend-based solutions.
Collaborate with cross-functional teams to deliver scalable, resilient, and high-performance data ingestion and transformation APIs and services.
12 years of professional software engineering experience.
Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related technical field required; Master's preferred.
Strong proficiency in Java and experience with cloud-native services, preferably Microsoft Azure, including microservices and serverless technologies.
Work arrangement requires working from office 4 days per week.
Experienced in designing and supporting scalable, resilient, data integration platforms in a cloud-native environment, especially Azure.
Capable of balancing new greenfield framework development with operational support of existing mission-critical integrations using Java, Pentaho Kettle, and Talend.
Comfortable working in large, distributed, collaborative teams within a financial services or enterprise data platform context.