Data Engineer — Cloud Lakehouse & Ingestion Modernization

Agentic Global Talent

Lahore

On-site

PKR 1,800,000 - 3,200,000

Full time

2 days ago
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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

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.

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