Highly Skilled Data Architect

7 days ago

Islamabad, Islamabad, Pakistan beBee Careers Full time

We are seeking a highly skilled Data Engineer to join our team. As a key member of our analytics department, you will play a crucial role in building and maintaining our data infrastructure, primarily on AWS.

Your responsibilities will include developing and operating ETL/ELT pipelines using AWS Glue, Lambda, Athena, and Step Functions. You will also be responsible for curating a robust data lakehouse, structuring and maintaining our data lake with proper partitioning, schema evolution, metadata tagging, and access control.

Additionally, you will support the MLOps lifecycle by collaborating with data scientists to deploy models using SageMaker Pipelines, update the Feature Store, and set up triggers for model retraining. Your attention to detail and ability to ensure precision and integrity will be vital in monitoring pipeline outputs and data quality dashboards to guarantee all data is accurate, traceable, and reproducible.

You will use infrastructure-as-code tools like Pulumi or Terraform to build reproducible infrastructure, implementing logging, versioning, and KMS-encrypted security practices. This role requires strong collaboration skills, as you will work across analytics, engineering, and credit teams to understand operational needs and develop technical pipelines and products.

  • Build & Maintain Pipelines: Develop and operate ETL/ELT pipelines using AWS Glue, Lambda, Athena, and Step Functions.
  • Curate a Robust Data Lakehouse: Structure and maintain our data lake with proper partitioning, schema evolution, metadata tagging, and access control.
  • Support MLOps Lifecycle: Collaborate with data scientists to deploy models using SageMaker Pipelines, update the Feature Store, and set up triggers for model retraining.
  • Ensure Precision & Integrity: Monitor pipeline outputs and data quality dashboards to ensure all data is accurate, traceable, and reproducible.
  • Automate, Audit & Secure: Use infrastructure-as-code tools like Pulumi or Terraform to build reproducible infrastructure, implementing logging, versioning, and KMS-encrypted security practices.
Requirements
  • 4+ years 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).
  • Knowledge of secure data handling and anonymization best practices.

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