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Tier-1 firm, Bangalore metro, mid-level (3+) data role with broad Spark/AWS skills drives high competition.
Enterprise-grade data engineering and security expectations moderately favor candidates with similar financial or large-enterprise backgrounds.
Mandatory 3+ years plus specific Spark/AWS/Java/Python and enterprise security/CICD requirements enforce high shortlisting strictness.
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Design, develop, and maintain secure, high-quality software solutions across multiple technical areas including big data and cloud technologies.
Analyze and synthesize large, diverse data sets to drive continuous improvement in software applications and systems.
Leverage enterprise-authorized AI-assisted development tools to improve code quality and delivery speed while ensuring secure coding standards.
3+ years of practical software engineering experience with formal training or certification in software engineering fundamentals.
Expert proficiency in Java, AWS, Python, Spark/PySpark, and database technologies.
Experience with full Software Development Life Cycle in an Agile environment including CI/CD, application resiliency, and security.
Hands-on experience in system design, application development, testing, and production/operational stability.
Experienced in large enterprise environments with strong end-to-end SDLC and Agile engineering practices.
Proficient in leveraging AI-assisted software development tools and capable of validating AI-generated outputs for correctness, security, and performance.
Knowledgeable about cloud technologies and big data trends, with preferred exposure to Databricks.