Data Engineer – Spark, Lakehouse & Informatica Specialist

Datamatics-Global-Services-Ltd; Lahore; On-site; PKR 13,294,000 - 22,157,000; Full time

Job summary

Datamatics-Global-Services-Ltd is hiring a Data Engineer to build, configure, and optimize data ingestion, transformation, and consumption workloads on a modern on-prem lakehouse platform. You will work with Spark, Iceberg tables, and Informatica integrations to support analytics and data consumption.

The role emphasizes hands-on Spark development, enterprise data lakehouse implementations, and data governance with Denodo and related tools, ensuring secure, scalable pipelines for batch and near

Qualifications

• Hands-on experience with Spark-based development and data lake/lakehouse implementations.
• Experience with Informatica Data Integration in enterprise environments.
• Strong SQL, data modeling, and data warehousing concepts.

Responsibilities

• Design and develop scalable data ingestion and transformation pipelines.
• Build, optimize, and maintain Spark-based ETL/ELT workloads.
• Develop and manage data models and datasets using Apache Iceberg tables.
• Implement and support data integration workflows using Informatica.
• Enable analytics through Denodo and related data virtualization tools.
• Develop secure, governed, and scalable data pipelines aligned with enterprise standards.
• Support batch and near real-time data processing requirements.
• Implement data quality, metadata management, and validation controls.
• Collaborate with Platform Engineers on deployment, integration, and operationalization activities.
• Support migration, testing, and production rollout initiatives.
• Troubleshoot and optimize data pipeline performance, reliability, and scalability.

Skills

Apache Spark

SQL/Data Modeling

Data Warehousing

ETL/ELT Development

Git Version Control

Python

Tools

Informatica Data Integration

MinIO Object Storage

Denodo

Starburst/Dremio

Apache Iceberg

Job description

Datamatics-Global-Services-Ltd is hiring a Data Engineer to build, configure, and optimize data ingestion, transformation, and consumption workloads on a modern on-prem lakehouse platform. You will work with Spark, Iceberg tables, and Informatica integrations to support analytics and data consumption.

The role emphasizes hands-on Spark development, enterprise data lakehouse implementations, and data governance with Denodo and related tools, ensuring secure, scalable pipelines for batch and near