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Tier-1 bank brand, common Data Engineer role, and metro location increase candidate competition.
Core data engineering skills transfer well, but banking domain preference raises specificity moderately.
Multiple required data engineering technologies and banking context create moderate hiring filter rigidity.
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Design, develop, and deploy core software components and data engineering solutions, including Java/Scala, Apache Spark/Beam, and GCP services.
Debug, fix, and support L3 issues, conduct code reviews, and ensure architectural compliance and integration across software components.
Manage software deployment, release management on non-production environments, unit and integration testing, and contribute to continuous technical improvements.
Bachelor's degree in Computer Science, Software Engineering, or equivalent with minor in Finance, Mathematics, or Engineering.
Strong experience with Java/Scala, Apache Spark/Beam, GCP data engineering services, Python/Terraform automation, and workflow orchestrators like Airflow.
Experience in Financial Services domain and knowledge of SDLC, Agile process, and relevant tools (HP ALM, Jira, Service Now).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in developing and deploying complex data engineering solutions in cloud environments, especially GCP.
Demonstrates ability to work in virtual and matrixed teams with strong analytical and communication skills.
Capable of balancing technical delivery with business requirements in a fast-paced financial services environment, supporting architectural and QA decisions.