
Senior Data Infrastructure Specialist
9 hours ago
We are seeking a skilled Data Engineer to join our team.
The ideal candidate will have advanced knowledge of data engineering principles and experience with cloud-based data platforms. They will be responsible for designing, building, and maintaining large-scale data systems, as well as collaborating with cross-functional teams to deliver high-quality data products.
- Key Responsibilities:
- Design and implement scalable data pipelines using AWS services such as S3, Glue, Athena, and Lambda.
- Develop and maintain robust data lake architecture, ensuring data quality, integrity, and security.
- Collaborate with data scientists to deploy machine learning models using SageMaker Pipelines and Feature Store.
- Monitor pipeline outputs and data quality dashboards, ensuring accuracy and reproducibility.
- Implement logging, versioning, and KMS-encrypted security practices using infrastructure-as-code tools like Pulumi or Terraform.
- Work closely with analytics, engineering, and credit teams to understand operational needs and translate them into technical pipelines and products.
- Advanced degree in Information Science, Software Engineering, Data Science, Statistics, Mathematics, or a related field.
- 4+ years of experience in data engineering or cloud data architecture roles.
- Solid experience with AWS data stack: S3, Glue, Athena, Lambda, Step Functions.
- Proficient in SQL, Python, and PySpark.
- Comfort with data lake architecture and handling semi-structured data (Parquet, JSON).
- Experience with MLOps, model deployment pipelines, and monitoring.
- Exposure to infrastructure-as-code (Pulumi preferred, Terraform acceptable).
- Familiarity with secure data handling and anonymization best practices.
- Experience with event-driven data flows (e.g., Kafka, EventBridge).
- Familiarity with SageMaker Feature Store and SageMaker Pipelines.
- Background in financial services, credit scoring, or mobile money ecosystems.
- Passion for building ethical, inclusive financial systems.
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