Data Engineer
Lahore, Lahore, Pakistan
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- Employment
Full-time — employment source
Job Description – Data Engineer Employment Type: Full-Time Work Location: KSA Experience Required: Hands-on experience with Spark development, Informatica integration solutions, and enterprise data platforms. Years of experience: 5 to 10 Role Overview
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What you’ll work on
Full postingWe are looking for a Data Engineer to build, configure, and optimize data ingestion, transformation, and consumption workloads on a modern on-premises lakehouse platform.
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.
From the employer’s posting
We are looking for a Data Engineer to build, configure, and optimize data ingestion, transformation, and consumption workloads on a modern on-premises lakehouse platform. The ideal candidate will have strong hands-on experience with Spark-based development, enterprise data lake/lakehouse implementations, and Informatica-based integration solutions.
Key Responsibilities Design and develop scalable data ingestion and transformation pipelines. Build, optimize, and maintain Spark-based ETL/ELT workloads.
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.
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.
Tools in this posting
- Scala
- Iceberg
- Spark
- PySpark
- SQL
- Python
- Kafka
Source — Tool mentions in context
Must-Have Skills - Apache Spark (PySpark and/or Scala Spark) - Apache Iceberg
- 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.
- Apache Spark (PySpark and/or Scala Spark) - Apache Iceberg - Informatica Data Integration
Job Description – Data Engineer Employment Type: Full-Time Work Location: KSA Experience Required: Hands-on experience with Spark development, Informatica integration solutions, and enterprise data platforms. Years of experience: 5 to 10 Role Overview
Role Overview We are looking for a Data Engineer to build, configure, and optimize data ingestion, transformation, and consumption workloads on a modern on-premises lakehouse platform. The ideal candidate will have strong hands-on experience with Spark-based development, enterprise data lake/lakehouse implementations, and Informatica-based integration solutions. Key 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.
- Denodo - SQL and Data Modeling - Data Warehousing Concepts
- CI/CD for Data Pipelines - Python - Kafka or Streaming Technologies
- Python - Kafka or Streaming Technologies - Lakehouse Architecture Patterns
Posting record
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- Oct 15, 2026 · 1d ago
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Job description
Employment Type: Full-Time
Work Location: KSA
Experience Required: Hands-on experience with Spark development, Informatica integration solutions, and enterprise data platforms.
Years of experience: 5 to 10
Role Overview
We are looking for a Data Engineer to build, configure, and optimize data ingestion, transformation, and consumption workloads on a modern on-premises lakehouse platform. The ideal candidate will have strong hands-on experience with Spark-based development, enterprise data lake/lakehouse implementations, and Informatica-based integration solutions.
Key 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 and data consumption through Denodo, Starburst, and/or Dremio.
- 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.
Must-Have Skills
- Apache Spark (PySpark and/or Scala Spark)
- Apache Iceberg
- Informatica Data Integration
- MinIO Object Storage
- Denodo
- SQL and Data Modeling
- Data Warehousing Concepts
- ETL/ELT Development
- Git Version Control
Good-to-Have Skills
- Starburst and/or Dremio
- Data Governance and Metadata Management
- Data Quality Frameworks
- CI/CD for Data Pipelines
- Python
- Kafka or Streaming Technologies
- Lakehouse Architecture Patterns
- Experience with enterprise data lake and lakehouse implementations
- Performance tuning and optimization of large-scale data workloads
Your next step
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- Ask the employer about the salary range before committing time to the process.
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Lahore, Lahore, Pakistan
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