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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and modernization of enterprise data platforms using Ab Initio, Hadoop ecosystem, and AWS cloud technologies.
Build scalable data solutions and drive migration of on-premise data processing workloads to AWS, defining target architecture and migration roadmaps.
Collaborate with business, architecture, and engineering teams to deliver data transformation initiatives while ensuring secure, reliable, and high-quality data delivery.
Minimum Requirements
Strong Ab Initio development expertise (GDE, EME, Conduct>It, Continuous Flows, Metadata Hub).
Proficiency with Hadoop ecosystem technologies (Hive, Spark, HDFS, Impala, Oozie, Sqoop, Kafka).
Experience with AWS Cloud Data Services (Glue, EMR, Athena, S3, Lambda, Redshift, Iceberg).
Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
Experienced in leading data transformation initiatives and regulatory data delivery with stakeholder and delivery leadership skills.
Skilled in DevOps & CI/CD practices including GitLab, Jenkins, Infrastructure as Code, and automated deployments.
Familiar with data architecture, governance, quality management, and financial services risk domain knowledge relevant to Credit Risk, Basel, IFRS9, and regulatory reporting.