Data Engineer

Samsung Southeast Asia & Oceania; Metro Manila; On-site; PHP 700,000 - 1,200,000; Full time

Job summary

Samsung Southeast Asia & Oceania is seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines for its cutting-edge Big Data project. You will work on ETL processes, data warehouse optimization, and analytics-driven reporting in a fast-paced, collaborative environment.

The role requires strong programming skills (Java/Python/Scala), deep knowledge of Spark/Hadoop/AWS Glue, and experience with SQL-based data warehouses.

Qualifications

• At least 2 years of relevant work experience.
• Proficient in Java, Python, or Scala.
• Experience with ETL pipelines and Spark/Hadoop/AWS Glue.
• Experience with SQL databases and data warehouses.
• Familiarity with Airflow and data visualization tools is a plus.

Responsibilities

• Implement, maintain and evolve cloud-based Big Data products and services.
• Design, implement, test, and maintain ETL processes for analytics.
• Analyze data warehouses and optimize SQL queries for BI reporting.
• Transform structured and unstructured data to produce meaningful reports.
• Write code, review code, and write unit tests.
• Write documentation and interface with product, QA, operations.
• Create quick proof-of-concept prototypes.
• Participate in an agile team.

Skills

Java

Python

Scala

Big data concepts

Analytical thinking

Team collaboration

Tools

Apache Spark

Hadoop

AWS Glue

Airflow

SQL

Tableau

Job description

Position SummaryWe 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.

Position SummaryWe 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:

• 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 ExperienceAt 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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