Data Engineer: Build Scalable Big Data Pipelines

Samsung; Philippines; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Samsung is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines for a cutting-edge Big Data project. The role emphasizes ETL development, data warehouse optimization, and collaboration with cross-functional teams in an agile environment.

The ideal candidate has 2+ years in data engineering and strong coding skills in Java, Scala, or Python, with hands-on experience in Spark, Hadoop, and AWS Glue.

Qualifications

• 2+ years of relevant work experience in data engineering.
• Proficiency in Java/Scala/Python for data processing.
• Strong background in building scalable ETL pipelines with Spark/Hadoop.

Responsibilities

• Design, develop, and maintain scalable data pipelines and infrastructure.
• Implement, test, and maintain ETL processes for BI analytics.
• Analyze data warehouses and optimize SQL queries for reporting.
• Transform structured/unstructured data for meaningful business reports.
• Write code, perform reviews, and create unit tests.

Skills

Java

Scala

Python

Spark

Hadoop

AWS Glue

Apache Airflow

SQL

Tableau

Kubernetes

Machine Learning

Tools

Apache Spark

Apache Hadoop

AWS Glue

Apache Airflow

Amazon Redshift

Google BigQuery

Delta Lake

Tableau

Kubernetes

Job description

Samsung is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines for a cutting-edge Big Data project. The role emphasizes ETL development, data warehouse optimization, and collaboration with cross-functional teams in an agile environment.

The ideal candidate has 2+ years in data engineering and strong coding skills in Java, Scala, or Python, with hands-on experience in Spark, Hadoop, and AWS Glue.