Data Engineer

Agentic Global Talent; Lahore; On-site; PKR 1,800,000 - 3,200,000; Full time

Job summary

Agentic Global Talent is seeking a hands-on Data Engineer to join its growing Data & AI team in Lahore. You will modernize a data platform by migrating legacy C#/.NET ingestion processes to a cloud-native AWS architecture and build a Databricks Lakehouse-based analytical layer.

The ideal candidate has 3+ years in data engineering, hands-on experience with AWS data services, Python and/or C#, and strong SQL Server skills.

Qualifications

• Minimum 3+ years of Data Engineering experience.
• Strong AWS data engineering expertise.
• Proficiency in Python and/or C#/.NET.
• Experience with SQL Server and ETL/ELT processes.
• Experience building data ingestion APIs and file-based ingestion.
• Familiarity with Databricks, Spark, and Lakehouse architectures.

Responsibilities

• Design and build scalable ingestion pipelines using AWS services (S3, Lambda, Glue, Step Functions, API Gateway).
• Develop data-processing solutions in Python and/or C#/.NET.
• Create APIs and file-based ingestion mechanisms for client data.
• Transform and map data into SQL Server with ETL/ELT workflows.
• Contribute to Databricks Lakehouse platform design and implementation.
• Optimize ETL/ELT for performance and reliability.
• Collaborate with cross-functional teams (Software, Architecture, Product, Analytics, Data Science).

Skills

AWS data engineering

Python

C# / .NET

SQL Server

ETL / ELT

APIs / file ingestion

Databricks

Spark

Lakehouse

Education

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

Job description

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.

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.