
Highly Skilled Data Infrastructure Specialist
3 hours ago
We are seeking a highly skilled professional to build and maintain our data infrastructure, supporting our lending models and operational processes.
Key Responsibilities- Pipeline Development: Design, develop, and operate ETL/ELT pipelines using AWS Glue, Lambda, Athena, and Step Functions to support reporting and real-time decision-making.
- Data Lakehouse Management: Structure and maintain our data lake with proper partitioning, schema evolution, metadata tagging, and access control across multiple jurisdictions.
- MLOps Support: Collaborate with data scientists to deploy models using SageMaker Pipelines, update the Feature Store, and set up triggers for model retraining.
- Quality Assurance: Monitor pipeline outputs and data quality dashboards to ensure all data is accurate, traceable, and reproducible.
- Infrastructure Automation: Use infrastructure-as-code tools like Pulumi or Terraform to build reproducible infrastructure, implementing logging, versioning, and KMS-encrypted security practices.
About This Role
This is an exciting opportunity to contribute to building the financial backbone of a leading digital bank. As a Senior Data Engineer, you will play a crucial role in shaping our data strategy and driving business growth through data-driven insights.
Required Skills and Qualifications
- Proven experience in designing, developing, and maintaining large-scale data infrastructure.
- Strong knowledge of cloud-based data platforms, including AWS Glue, Lambda, Athena, and Step Functions.
- Ability to work collaboratively with cross-functional teams, including data scientists and engineers.
- Excellent problem-solving skills and attention to detail.
- Bachelor's degree in Computer Science, Engineering, or related field.
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