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Specialized AWS and big-data AI manager role in metro with reputable brand yields medium competition.
Core data engineering skills are highly transferable across industries despite financial domain context.
Specific AWS, big-data and AI skills plus 7+ years and managerial requirement make shortlisting high.
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Lead design and delivery of scalable, secure data infrastructure supporting AI and advanced analytics.
Develop and optimize ETL/ELT pipelines using AWS services (Redshift, RDS, Glue, EMR) and tools such as Python, PySpark, and SQL.
Partner with data scientists and stakeholders to translate requirements into technical solutions while applying data governance and security best practices.
7+ years of experience in large-scale data infrastructure development and AI applications.
Proficiency with AWS data services (Redshift, RDS, Glue, EMR) and big data technologies (Apache Spark, Hadoop, Kafka, Kinesis).
Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field.
AWS certification in Data Analytics or equivalent cloud certification is highly desirable.
Experienced in leading teams and mentoring data engineers in large-scale, cloud-based environments.
Strong expertise in integrating AI solutions with data engineering to drive strategic transformation and operational efficiency.
Skilled at managing AI risks and ethical governance to foster responsible AI adoption within organizations.