Data Engineer

Samsung Electronics • Smartphones • Televisions • Python • Java • SQL • Erlang • Collibra • 2 days ago
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Salary
≈ $24k – $49k per year (Estimated)
Location
In office (Bengaluru)
Experience
7+ years exp

First seen by Alion on Oct 23, 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
Backed by Valueaddvc, team@irregular, Blue Lion

Responsibilities:

  • Design, deploy, and operate industrial data lake platforms.
  • Build and maintain end-to-end data pipelines.
  • Implement data bridges for sensor connectivity and industrial data integration.
  • Optimize data infrastructure in collaboration with DevOps and application teams.
  • Ensure data quality, validation, governance, and reliable data processing.
  • Support industrial IoT, machine data, MES, and Manufacturing 4.0 use cases.


Requirements:

  • Experience: 7-10 Years
  • Strong data engineering and end-to-end data pipeline experience.
  • Hands-on experience with Apache Camel K and PySpark.
  • Experience designing, deploying, and operating Data Lake/Lakehouse architecture.
  • Strong SQL and database knowledge, including PostgreSQL, InfluxDB, or other time-series databases.
  • Experience with Kafka, Redpanda, MQTT, or similar messaging technologies.
  • Knowledge of data ingestion, transformation, validation, data quality, and governance.
  • Experience implementing IoT/IIoT sensor connectivity and data integration.


Good to Have:

  • Apache Iceberg, MinIO, Trino, EMQX, and MQTT-to-Kafka integration.
  • Data lineage/cataloguing tools such as OpenMetadata or Collibra.
  • Docker, Kubernetes, CI/CD, and DevOps practices.
  • Advanced analytics tools such as Qdrant, Neo4j, or Braincube.

Skills

apache camel k, camel k, data engineer, data engineering, pyspark

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