Data Engineer

Data Engineer (5+ Years Experience)

Company: Python Technologies Location: Islamabad Type: Full-time Experience: 5+ years

About the Role

We're looking for an experienced Data Engineer to design, build, and maintain the data infrastructure that powers our products and decision-making. You'll own data pipelines end to end — from ingestion through transformation to delivery — and partner with analysts, ML engineers, and product teams to make clean, reliable data available at scale.

This is a hands-on role for someone who has spent the last several years building production data systems and wants ownership over architecture and quality.

What You'll Do

• Design, build, and maintain scalable ETL/ELT pipelines for batch and streaming data
• Develop and optimize data models and warehouse schemas for analytics and reporting
• Build and manage data infrastructure on cloud platforms (AWS / GCP / Azure)
• Ensure data quality, integrity, and reliability through testing, monitoring, and validation
• Optimize query performance and storage costs across large datasets
• Collaborate with analytics and ML teams to deliver well-structured, accessible data
• Implement data governance, security, and documentation best practices
• Mentor junior engineers and contribute to technical standards

What We're Looking For

• 5+ years of experience in data engineering or a closely related field
• Strong SQL skills and solid programming experience in Python (or Scala/Java)
• Hands-on experience building data pipelines with tools like Airflow, dbt, or similar
• Experience with cloud data warehouses (Snowflake, BigQuery, Redshift) and data lakes
• Proficiency with at least one major cloud platform (AWS, GCP, or Azure)
• Familiarity with big data technologies (Spark, Kafka, or similar)
• Understanding of data modeling, warehousing concepts, and pipeline orchestration
• Strong problem-solving skills and attention to data quality

Nice to Have

• Experience with streaming data and real-time processing
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Exposure to ML/AI data workflows or feature pipelines
• Infrastructure-as-code experience (Terraform, CloudFormation)
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

What We Offer

• Opportunities to work on challenging, high-impact data problems
• A collaborative team and room to grow

How to Apply

Send your CV

Pay: Rs300,000.00 per month

Work Location: In person