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Job Description
Structured overview of role & requirementsAbout This Role
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.
Minimum Requirements
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.
Ideal Candidate Profile
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.