Senior Data Infrastructure Specialist

7 hours ago


Islamabad, Islamabad, Pakistan beBeeDataEngineer Full time
Job Opportunity

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.
Required Skills & Qualifications
  • 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.
Nice to Have
  • 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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