Data Engineer

Samsung Electronics • Smartphones • Televisions • Python • Java • SQL • Scala • Tableau • ETL/ELT • AWS Glue • 2 days ago

Apply now

Similar jobs

845,924open jobs

53,875companies

143,390added this week

Browse all

Salary

≈ $13k – $36k per year (Estimated)

Location

In office (Manila)

Seniority

Junior · 2+ years exp

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 25, 2026. Samsung Electronics scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Samsung Electronics

Samsung Electronics is a South Korean company founded in 1969 and the largest business in the Samsung group, operating across two very different halves. Its device solutions division makes memory chips, foundry services and image sensors and is one of the largest semiconductor producers in the world, while its device experience division sells Galaxy smartphones and tablets, televisions, home appliances and networking equipment to consumers. Headquartered in Suwon and listed in Seoul, it is the biggest supplier of DRAM and NAND memory and competes with TSMC in contract chip manufacturing.

samsung.com • HQ: Suwon, South Korea • Televisions • Displays & Panel Technology • Semiconductor Manufacturing • Smartphones • Memory & Storage Chips • 1001-5000 employees • Est. 1969

Tech stack of Samsung Electronics

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

Skills and Qualifications

* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.

Free account

Stop reading job ads. Get the ones that fit.

One free account turns this page into a shortlist built around your stack, your level and your pay.

Match on every job. Stack, seniority, pay and location, scored against your profile.

845,924 open roles. Read straight off company career pages, refreshed every day.

Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.

3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.

Create a free account Continue with Google

Free forever. No card. Under a minute.

Your match

How well do you fit this role?

Two answers are enough for a real match. No account needed.

Check my fit

Answers stay in this browser until you create an account.

Recommended for you based on this role

Data Science

Similar stack

Same company

Manila

Network Data Engineer 5 months ago

≈ $16k – $44k per year (Estimated) • In office • Full-Time • Taguig

Databases

Snowflake

DevOps

SLI/SLO/SLA

IAM

Analytics

ETL/ELT

Dimensional Modeling

Apply