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Data & AI

Data Engineer

TeamData & AI
LocationLahore, Onsite
TypeFull-time

About this role.

We are looking for a hands-on Data Engineer to join a growing Data & AI team and help modernize and scale a next-generation data platform. This role will focus on migrating legacy C#/.NET-based ingestion processes to a cloud-native AWS architecture and building a modern analytical platform using Databricks/Lakehouse technologies.

The ideal candidate has strong experience building scalable data pipelines, APIs, ETL/ELT workflows, and distributed data systems.

Key Responsibilities

  • Design and build scalable ingestion pipelines using AWS S3, Lambda, Glue, Step Functions, and API Gateway.
  • Develop Python and/or C#/.NET data-processing and integration solutions.
  • Build APIs and file-based ingestion mechanisms for client data.
  • Develop data mapping and transformation workflows into SQL Server.
  • Help design and implement a Databricks Lakehouse platform.
  • Optimize ETL/ELT pipelines for performance, reliability, and scalability.
  • Support and modernize existing C#/.NET ingestion processes.
  • Troubleshoot production data-pipeline issues.
  • Implement data governance, security, and compliance practices for a multi-tenant SaaS environment.
  • Collaborate with Software Engineering, Architecture, Product, Analytics, and Data Science teams.

Required Skills

  • Strong AWS data engineering.
  • Python and/or C#/.NET.
  • SQL Server.
  • ETL/ELT; API and file-based ingestion.
  • Familiarity with Databricks, Spark, and Lakehouse architecture.

Nice to Have

  • Azure DevOps/CI/CD, Amazon Bedrock/AgentCore, data governance and security, real-time processing, ML/AI pipelines, and multi-tenant SaaS experience.

Qualification

  • Bachelor’s degree in Computer Science, IT, or a related field.

Experience

  • 3+ years in Data Engineering.
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