.Data Engineer [Apache Iceberg & Databricks]

NCS Group; Taguig; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

NCS Group is seeking a Data Engineer in the Philippines to design, build, and maintain scalable data pipelines and platforms leveraging Databricks, Apache Iceberg, and Spark-based ecosystems. This role focuses on data lakehouse architectures and reliable analytics for business insights.

You will collaborate with Data Architects and Analysts to ensure data quality, security, and performance across batch and streaming pipelines, driving efficient data transformations and governance.

Qualifications

• 3+ years of experience in data engineering or a related role.
• Hands-on experience with Databricks and Apache Iceberg.
• Strong SQL and Python skills.
• Experience with Spark/PySpark and distributed data processing.
• Strong understanding of Data Lake/Lakehouse architecture.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of ETL/ELT, data modeling, and data pipeline development.
• Experience with Delta Lake, Kafka, or other data technologies is an advantage.

Responsibilities

• Design, build, and maintain scalable data pipelines and data platforms.
• Develop and optimize data processing workflows using Databricks and Apache Iceberg.
• Build and manage batch and streaming data pipelines.
• Work with data lake/lakehouse architectures and ensure data quality, reliability, and performance.
• Integrate data from multiple sources and transform it for analytics and business use.
• Implement data governance, security, monitoring, and optimization practices.
• Collaborate with Data Architects, Analysts, and other engineering teams to deliver data solutions.

Skills

SQL

Python

Spark

PySpark

Databricks

Apache Iceberg

Data modeling

ETL/ELT

Kafka

Tools

Databricks

Apache Iceberg

Spark/PySpark

Kafka

Job description

Requirements

• 3+ years of experience in Data Engineering or a related role.


• Hands-on experience with Databricks and Apache Iceberg.


• Strong SQL and Python skills.


• Experience with Spark/PySpark and distributed data processing.


• Strong understanding of Data Lake/Lakehouse architecture.


• Experience with cloud platforms such as AWS, Azure, or GCP.


• Knowledge of ETL/ELT, data modeling, and data pipeline development.


• Experience with Delta Lake, Kafka, or other data technologies is an advantage.

Requirements

• 3+ years of experience in Data Engineering or a related role.


• Hands-on experience with Databricks and Apache Iceberg.


• Strong SQL and Python skills.


• Experience with Spark/PySpark and distributed data processing.


• Strong understanding of Data Lake/Lakehouse architecture.


• Experience with cloud platforms such as AWS, Azure, or GCP.


• Knowledge of ETL/ELT, data modeling, and data pipeline development.


• Experience with Delta Lake, Kafka, or other data technologies is an advantage.

Responsibilities

Minimum Qualifications

• Design, build, and maintain scalable data pipelines and data platforms.


• Develop and optimize data processing workflows using Databricks and Apache Iceberg.


• Build and manage batch and streaming data pipelines.


• Work with data lake/lakehouse architectures and ensure data quality, reliability, and performance.


• Integrate data from multiple sources and transform it for analytics and business use.


• Implement data governance, security, monitoring, and optimization practices.


• Collaborate with Data Architects, Analysts, and other engineering teams to deliver data solutions.