Data Engineer

WAMO Labs; Lahore; Presencial; PKR 1 800 000 - 2 400 000; Tempo integral

Resumo da oferta

WAMO Labs is seeking recent graduates and early-career data engineers to join the team in Lahore. You will build and maintain data pipelines, transform and validate data, and support data governance initiatives while collaborating with cross-functional teams on data-driven projects.

The role emphasizes strong fundamentals in SQL, Python, and databases, with exposure to cloud platforms (AWS/Azure/GCP) and modern tooling like Airflow and dbt. Immediate joiners are preferred.

Qualificações

• Fresh graduates with a strong foundation in SQL and Python.
• Familiarity with Git and version-control practices is a plus.
• Knowledge of data pipelines, ETL/ELT concepts and data governance is valued.

Responsabilidades

• Build, maintain, monitor, and troubleshoot reliable data pipelines.
• Clean, transform, validate, and integrate data from multiple sources.
• Support data warehouse design, development, and maintenance.
• Contribute to data governance through documentation and quality standards.
• Collaborate with cross-functional teams on data-driven solutions.
• Exposure to Airflow, dbt, Spark or related governance tools.

Conhecimentos

SQL

Python

Git

Data pipelines

Data quality

Data governance

Airflow

dbt

Spark

Cloud concepts

Ferramentas

Airflow

dbt

Spark

Microsoft Fabric

PowerBI

AWS

Azure

GCP

Descrição da oferta de emprego

This role is designed for fresh graduates and early-career professionals with a strong foundation in SQL, Python, databases, and data engineering concepts. You’ll work on real-world projects, build reliable data pipelines, improve data quality, and support data governance and compliance initiatives. You will collaborate with cross-functional teams, contribute to data-driven products and solutions, and continuously strengthen your technical and analytical skills using modern data engineering practices.

What you'll do

• Build, maintain, monitor, and troubleshoot reliable data pipelines and data-quality issues.
• Clean, transform, validate, and integrate data from multiple sources.
• Strong understanding of SQL and Python.
• Support data warehouse design, development, and maintenance using knowledge of databases, data structures, and ETL/ELT concepts.
• Support data governance through documentation, lineage, quality standards, access controls, privacy, security, and regulatory compliance.
• Exposure to Airflow, dbt, Spark, or data governance tools.
• Ensure data processes align with organizational policies, security standards, and applicable regulations.

What we're looking for

• Familiarity with Git and version-control practices.
• Experience with Microsoft Fabric or PowerBI is a plus
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) is a plus.
• Strong problem-solving, communication, teamwork, and attention-to-detail.
• Immediate joiners would be preferred.