Data Engineers

Science Hub Tower 2, Manila, Philippines

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Samsung Electronics

Tervetuloa Samsung Suomen verkkosivuille. Tarjoamme laajan valikoiman innovatiivista kodinelektroniikkaa ja tekniikkaa. Tutustu älypuhelimiin, tabletteihin, televisioihin, kodinkoneisiin ja muihin tuotteisiimme.

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Position Summary

We are looking for world class server software engineers with Big Data Engineering and Data Analysis experience to join our technology innovation group focused on the rapid development of cloud based end-to-end mobile applications and services. This is an exciting area for Samsung: Cloud based service platforms and infrastructure to support mobility.

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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Airflow Architecture Avro AWS AWS Glue Big Data BigQuery Business Intelligence Computer Science CSV Data analysis Data visualization Engineering ETL Hadoop Java JSON Kafka Kubernetes Machine Learning Parquet Pipelines Privacy Python Redshift Research Scala Spark SQL Streaming Tableau Unstructured data

Region: Asia/Pacific
Country: Philippines

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