Principal Data Engineer – AWS Redshift & Data Platforms Job ID: 349866
Summary
Principal Data Engineer builds and optimizes cloud data pipelines on Amazon Redshift and AWS, focusing on high-performance warehousing, orchestration with Apache Airflow, and scalable analytics for a global client.
Principal Data Engineer – AWS Redshift & Data Platforms
Employment Type: Full-Time | Permanent Location: Pakistan (Lahore / Karachi / Islamabad) – Hybrid
About the Opportunity
HireOn is hiring on behalf of a reputed international client seeking a Principal Data Engineer to play a pivotal role in building and scaling a next-generation cloud data platform.
This position focuses on designing and delivering high-performance data pipelines and warehouse solutions on Amazon Redshift, enabling faster analytics, improved reliability, and scalable data operations.
You will take ownership of architecting data workflows, optimizing processing performance, and implementing production-grade orchestration, while collaborating with cross-functional teams to drive data-driven outcomes.
Key Requirements (Must-Have First)
- 6 to 8+ years of experience in data engineering, data platforms, or data warehousing
- Advanced expertise in Amazon Redshift, including performance tuning, workload optimization, and MPP architecture
- Strong hands-on experience with Apache Airflow (MWAA preferred) for workflow orchestration
- Proficiency in SQL and Python for building scalable data pipelines
- Solid experience with cloud-based data ecosystems on AWS (S3, Lambda, CloudWatch, DMS)
- Deep understanding of data modeling, ETL/ELT frameworks, and large-scale data processing
- Proven ability to design high-performance, distributed data pipelines
- Experience leading engineering efforts, including code reviews, mentoring, and technical decision-making
- Strong knowledge of query optimization, parallel processing, and data pipeline efficiency
Core Technical Skills
Essential
- Amazon Redshift (Provisioned / Serverless)
- MPP data processing concepts
- Apache Airflow (MWAA)
- Advanced SQL & performance tuning
- Python for data engineering
- Data modeling & warehousing concepts
Preferred
- AWS services (S3, Lambda, DMS, Aurora PostgreSQL)
- CI/CD pipelines & Git-based workflows
- Linux/Unix environments
- Experience with large-scale, distributed data systems
What Success Looks Like
- Highly optimized and scalable data pipelines running on Redshift
- Reliable orchestration with minimal downtime and strong observability
- Efficient handling of large datasets with improved query performance
- Well-architected data platform aligned with modern engineering standards
Why Join Through HireOn
- Opportunity to work with a globally recognized client on high-impact data initiatives
- Exposure to modern cloud data technologies and large-scale systems
- Hybrid work flexibility within Pakistan
- Career growth into data architecture and platform leadership roles
