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Tier-1 brand, mid-senior generalist data engineer in metro with broad required skills increases competition.
Core data engineering skills transfer across industries but fintech security/compliance needs raise domain specificity.
Explicit years requirement (6-9) plus mandatory data engineering, CI/CD, observability, and security skills enforce strict shortlisting.
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Design, implement, and maintain scalable data pipelines and data products, ensuring secure, high-quality data management across features.
Translate business and functional requirements into robust data architecture and technical solutions, collaborating with stakeholders and cross-functional teams.
Develop, deploy, and monitor data applications with automation and CI/CD pipelines, troubleshoot production issues, and manage software lifecycle (including patches and upgrades).
6-9 years of relevant work experience with a Bachelor's Degree or at least 5 years with an Advanced Degree (Masters, MBA, JD, MD).
Proven experience designing and implementing large-scale data pipelines and processing jobs.
Proficient in coding with high-quality, testable, and efficient code; experience in unit, integration, end-to-end testing and automation.
Hands-on experience building and maintaining CI/CD pipelines, containerization (e.g. Docker), orchestration tools, monitoring applications, and applying secure coding and regulatory compliance.
Experienced in working with large-scale, distributed data systems and technologies like Hadoop, Kafka, RDBMS, NoSQL, and cloud platforms (MS Azure, AWS, Google Cloud).
Demonstrated ability to independently own end-to-end data products and pipelines with strong troubleshooting and documentation skills.
Familiarity integrating AI/ML services into applications and leveraging emerging technologies such as Generative AI tools for software development.