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Data Engineer (Azure / AWS / Big Data)

Data Engineer (Azure / AWS / Big Data) | Onsite – Lahore

Job Title: Data Engineer

Location: DHA Phase 1, Lahore

Job Type: Full‑Time | Onsite

Working Hours: 10:00 AM – 6:00 PM

Schedule: Monday – Friday

Experience: 2–3 Years

Education: Bachelors or Masters Degree in Computer Science or related field

Compensation: 200k - 300k

Job Overview

We are looking for a skilled Data Engineer with hands‑on experience in Azure, AWS, Spark, and Python to join our growing technology team in Lahore . The ideal candidate will be responsible for building and managing scalable data pipelines, processing large datasets, and optimizing big data workflows .

This role requires strong experience in cloud data engineering, data ingestion pipelines, and big data processing frameworks to support data‑driven decision‑making across the organization.

Key Responsibilities

  • Design and develop data pipelines and ETL processes for structured and unstructured data
  • Build and manage data ingestion pipelines and stream processing systems
  • Develop scripts and applications using Python, Spark, and SQL
  • Write and optimize complex SQL queries and shell scripts
  • Work with big data querying tools and distributed data systems
  • Implement and maintain cloud‑based data solutions on Azure or AWS
  • Manage large datasets using Hadoop distributions and Azure Data Lake (HDFS)
  • Troubleshoot and resolve data pipeline issues with minimal supervision
  • Ensure data reliability, scalability, and performance optimization


Required Skills

  • Hands‑on experience with Azure or AWS cloud platforms
  • Strong programming skills in Python
  • Experience working with Apache Spark and big data processing frameworks
  • Advanced SQL and data query optimization skills
  • Experience building and maintaining data ingestion pipelines
  • Familiarity with NoSQL databases
  • Experience with Hadoop distributions and Azure Data Lake (HDFS)
  • Strong problem‑solving skills and ability to meet deadlines


Preferred Qualifications

  • 2–3 years of experience in Data Engineering or Cloud Data Development
  • Bachelors or Masters Degree in Computer Science, Software Engineering, or related field
  • Certification or training in Data Lake HDFS, Big Data, or Cloud Data Engineering is a plus


Work Location

DHA Phase 1, Lahore

Fully Onsite Position

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