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Samsung Data Engineers 
Philippines, Taguig 
709399226

21.08.2025

Role and Responsibilities

  • Implement, maintain and evolve cloud-based products and services
  • Responsible for designing, implementing and maintaining ETL processes for Analytics and Business Intelligence Systems
  • Perform extensive research and analysis to make optimal architecture and design decisions
  • 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

Skills and Qualifications

  • BS or MS in Computer Science or equivalent experience
  • Working experience in software development using Java, Scala, or Python is a must
  • Extensive experience in implementing scalable and reliable ETL pipelines on Cloud Platforms 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 Cloud Data Warehouses such as Amazon Redshift, Google BigQuery, and Data Lakes/Delta Lakes
  • Experience with stream processing technology like Kafka, and Spark Streaming
  • 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