Data Engineers

Reposted 4 Days Ago
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Manila, Metro Manila, National Capital Region
In-Office
Mid level
Computer Vision • Hardware • Mobile • Software • Semiconductor
The Role
Design and implement cloud-based ETL processes, analyze data warehouses, optimize SQL queries, and maintain scalable products. Collaborate with cross-functional teams and write code for various data formats.
Summary Generated by Built In

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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Top Skills

Amazon Redshift
Apache Airflow
Spark
Avro
Aws Glue
Csv
Google Bigquery
Hadoop
Java
JSON
Kafka
Kubernetes
Orc
Parquet
Python
Scala
Spark Streaming
Tableau
Yaml
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The Company
Austin, TX
145,454 Employees
Year Founded: 1969

What We Do

Samsung Electronics is a global leader in technology, opening new possibilities for people everywhere. Through relentless innovation and discovery, we are transforming the worlds of TVs, smartphones, wearable devices, tablets, digital appliances, network systems, medical devices, semiconductors and LED solutions. Samsung is also leading in the Internet of Things space through, among others, our Smart Home and Digital Health initiatives.

Since being established in 1969, Samsung Electronics has grown into one of the world’s leading technology companies, and become recognized as one of the top 10 global brands. Our network now extends across the world, and Samsung takes great pride in the creativity and diversity of its talented people, who drive our growth.

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