Building Data Infrastructure as a Data Architect and Engineer

1 week ago

Islamabad, Islamabad, Pakistan beBee Careers Full time
Job Title:

Data Architect and Engineer

Job Description

We are seeking a skilled Data Engineer who can leverage their expertise to build and maintain data infrastructure that supports our lending models and operational processes. Your role involves developing and operating ETL/ELT pipelines using AWS Glue, Lambda, Athena, and Step Functions to support reporting and real-time decision-making.

This position offers a unique opportunity to contribute to building the financial backbone of a leading digital bank.

Key Responsibilities:

  • Pipeline Development: Develop and operate ETL/ELT pipelines to support reporting and real-time decision-making.
  • Data Lake Architecture: Structure and maintain our data lake with proper partitioning, schema evolution, metadata tagging, and access control.
  • MLOps Lifecycle: 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 Management: Use infrastructure-as-code tools like Pulumi or Terraform to build reproducible infrastructure, implementing logging, versioning, and KMS-encrypted security practices.

Requirements:

  • A strong background in data engineering or cloud data architecture roles.
  • Solid experience with AWS data stack: S3, Glue, Athena, Lambda, Step Functions.
  • Proficiency in SQL, Python, and PySpark.
  • Experience 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).

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.

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