Data Engineer

Samsung Electronics Philippines Corporation; Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Samsung Electronics Philippines Corporation is seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure for big data projects in Manila. The role emphasizes ETL, data warehousing, and BI reporting using Spark, Hadoop, and cloud tools.

Ideal candidates have 2+ years of data engineering experience, strong SQL skills, and a willingness to work in an agile team.

Qualifications

• 2+ years of data engineering experience.
• Strong background in building scalable data pipelines.
• Experience with big data stacks and analytics reporting.

Responsibilities

• Design, develop and maintain scalable data pipelines and infrastructure.
• Implement, test and optimize ETL processes for BI and analytics.
• Analyze data warehouses and optimize SQL queries for reporting.
• Transform structured/unstructured data into meaningful reports.
• Write extensive code, conduct reviews, and write tests.
• Create documentation and collaborate with PM, QA and Ops.
• Build quick PoC prototypes and participate in agile sprints.

Skills

Java

Scala

Python

ETL pipelines

Spark

Hadoop

Airflow

Kubernetes

Tableau

SQL

Redshift

BigQuery

Delta Lake

Tools

Apache Airflow

Kubernetes

Tableau

Amazon Redshift

Google BigQuery

Delta Lake

Job description

Position Summary

We are seeking a skilled and experienced Data Engineer to join our team for a cutting-edge Big Data Project. The ideal candidate will be responsible for designing, developing, and maintaining scalable and efficient data pipelines and infrastructure to support our data-driven initiatives. This role requires a strong technical background in big data technologies and data engineering best practices.

Role and Responsibilities

Duties & Responsibilities:

Responsibilities Include:

• Implement, maintain and evolve cloud-based Big Data products and services
• Responsible for designing, implementing, testing, and maintaining ETL processes for Analytics and Business Intelligence Systems
• Analyze data warehouses and suggest optimizations to SQL Queries used for Business Intelligence reporting
• Modify structured and unstructured data to provide meaningful reports to business
• Write large amounts of code, perform code reviews, write unit tests
• Write documentation
• Interface with other groups including Product Management, QA and Operations
• Create quick proof-of-concept prototypes
• Participate in an agile team

Work Experience:

At least 2 years relevant work experience

Skills & Competencies:

• Working experience in software development using Java, Scala, or Python is a must
• Extensive experience in implementing scalable and reliable ETL pipelines using Big Data Technologies such as Apache Spark, Hadoop, AWS Glue
• Experience transforming data in various formats ( JSON,CSV, PARQUET, YAML, Avro, Orc)
• Experience managing and scheduling workflows (Apache Airflow experience is preferred)
• Experience with working on SQL Databases (Cloud Data Warehouses such as Amazon Redshift, Google BigQuery, and Data Lakes/Delta Lakes are preferred)
• Ability to analyze and simplify complex code and algorithms in Java, Scala or Python
• Ability to adapt and learn different technologies that best solves the problem regardless of whether it is written in Python, Java, Scala, etc.
• Ability to perform ad-hoc complex SQL queries and query optimization
• Team player with strong communication skills
• Desire to learn fast and pick up latest technologies and tools
• Experience with data visualization software (Tableau preferred) is a plus
• Experience with Kubernetes and Machine Learning is a plus

Skills and Qualifications

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