Data Engineer

Samsung Electronics America

Manila

On-site

PHP 900,000 - 1,500,000

Full time

4 days ago
Be an early applicant
Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

Samsung Electronics America is seeking a Data Engineer to design and maintain scalable data pipelines and infrastructure for analytics initiatives. The role focuses on ETL development, data warehousing optimizations and collaborating with cross-functional teams.

The ideal candidate has 2+ years in data engineering, strong SQL skills, and experience with Spark, Hadoop, and cloud-based data services. Work will involve BI insights, code reviews, and agile teamwork.

Qualifications

  • 2+ years of relevant data engineering experience.
  • Strong SQL query optimization skills.
  • Experience with cloud-based data pipelines and ETL processes.
  • Experience with big data tools and architectures.
  • Team player with good communication skills.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and infrastructure for analytics.
  • Build, test, and optimize ETL processes for BI systems.
  • Analyze data warehouses and optimize SQL queries for reporting.
  • Transform structured and unstructured data into meaningful reports.
  • Write large amounts of code, participate in code reviews and write tests.
  • Document data flows and interfaces for other teams.
  • Collaborate with Product, QA and Operations teams.
  • Develop quick PoCs and participate in agile sprints.

Skills

Java
Python
Scala
SQL
Teamwork
Communication

Tools

Apache Spark
Apache Hadoop
AWS Glue
Apache Airflow
Redshift
BigQuery
Delta Lake
Tableau
Kubernetes

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


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, and network systems, and the entire semiconductor industry with our memory, system LSI, foundry, and LED solutions. Samsung is also leading in the development of the Internet of Things 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 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. To discover more, please visit our official newsroom at (https://news.samsung.com/global/).

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Data Engineer
Data Engineer

Samsung Electronics Philippines Corporation • Manila

On-site
PHP 1,200,000 - 1,800,000
Data Engineer
Data Engineer

Samsung • Philippines

On-site
PHP 600,000 - 1,200,000
Data Engineer: Build Scalable Big Data Pipelines
Data Engineer: Build Scalable Big Data Pipelines

Samsung • Philippines

On-site
PHP 600,000 - 1,200,000
Data Engineer – Big Data Pipelines & ETL
Data Engineer – Big Data Pipelines & ETL

Samsung Electronics America • Manila

On-site
PHP 900,000 - 1,500,000
Data Engineer
Data Engineer

Hammerjack Pty Ltd • Philippines

On-site
PHP 1,200,000 - 2,000,000
Cloud Data Engineer: Big Data Pipelines & ETL
Cloud Data Engineer: Big Data Pipelines & ETL

Samsung Electronics Philippines Corporation • Manila

On-site
PHP 1,200,000 - 1,800,000
Data Engineer
Data Engineer

Vertere Global Solutions, Inc. • Mandaluyong

On-site
PHP 900,000 - 1,500,000
Backend Engineer
Backend Engineer

Samsung Electronics America • Manila

On-site
PHP 1,200,000 - 1,800,000
Data Engineer
Data Engineer

Satellite Office • Taguig

On-site
PHP 669,600 - 892,800
Data Engineer
Data Engineer

Sureste Properties Inc. • Parañaque

On-site
PHP 900,000 - 1,500,000