P3-C3-TSTS
8+ years of Senior data modeling experience, Erwin data modelling tool
Experience with AWS and Redshift database models is a plus
Designing L2 Layer experience for Large Data Transformation Program
Experience of working as a Lead Data Modeler and working with senior stakeholders
Experience in Machine Learning.
Knowledge of relational databases and data architecture computer systems, including SQL
Experience of ER modeling, big data, enterprise data, and physical data models
Experience of working with large data sets.
Banking experience is a must. Finance data experience, Anaplan experience is a plus.
Familiarity with data modeling software such as SAP PowerDesigner, Microsoft Visio, or erwin DataModeler
Excellent presentation, communication, and organizational skills
Strong attention to detail
Ability to work in a fast-paced environment
Hands-on experience with Amazon SageMaker, including model training, deployment, and endpoint management.
Strong Python programming skills and experience with ML libraries (e.g., scikit-learn, pandas).
Experience with MLOps tools and practices (e.g., MLflow, SageMaker Pipelines, CI/CD tools like Jenkins or GitHub Actions).
Solid understanding of data lake architecture, data wrangling, and transformation best practices.
Proficiency with AWS services: S3, Lambda, Glue, Step Functions, CloudWatch, etc.
Familiarity with containerization (Docker) and orchestration (ECS, EKS, or Kubernetes).
Preferred Qualifications:
AWS certifications (e.g., AWS Certified Data Analytics Specialty, Machine Learning Specialty).
Experience with infrastructure automation (Terraform, CDK, or CloudFormation).
Knowledge of data quality, lineage, and governance tools.
Exposure to streaming data (Kinesis, Kafka) and real-time ML pipelines.
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