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Tier-1 brand, mid-level generalist data role in a metro with broad tech requirements increases applicant competition.
Core data engineering skills (Spark, SQL, cloud) are highly transferable across industries.
Explicit 3+ years and many mandatory data engineering technologies enforce stringent shortlisting filters.
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Own data strategy, governance, risk management, reporting, and analytics across multiple technical areas.
Design, develop, test, and deploy scalable data engineering applications using Java, Python, Scala, Spark, and cloud technologies.
Leverage AI-assisted development tools for code quality and support AWS cloud development and deployment.
3+ years applied software engineering experience with formal training or certification.
Expert-level skills in Java, AWS, Python, Scala, Spark, and database technologies (SQL, RDMS, Data Warehousing).
Experience in data platform engineering including batch and streaming data processing.
Hands-on experience with enterprise-authorized AI-assisted software development tools with ability to validate AI outputs.
Experienced in delivering complex projects in Data and Analytics, Big Data, Data Warehousing, and Business Intelligence.
Able to work fast and quickly adopt new technologies and strategies relevant to data engineering and cloud.
Understands compliance and control processes and shows a strong grasp of data technologies and industry best practices.