Quick Summary
LG Ad Solutions LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.
System Ownership: Build and maintain a comprehensive understanding across multiple complex data pipelines and platform projects owned by the team.
Bachelor's Degree (B.Tech/B.E.) in Computer Science, Engineering, or a related technical field. 2+ years of relevant professional software development experience, with a strong preference for Backend or Data Engineering roles.
LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.
We are looking for a highly driven Software Engineer 2 to join our Data & Platform Engineering team at LG Ad Solutions. In this role, your primary focus will be designing, building, and scaling robust, Terabyte-scale data pipelines that power our core advertising (DSP/SSP) and Automatic Content Recognition (ACR) systems. Beyond just moving data, you will be instrumental in developing essential Data Platform-related tooling, establishing rigorous Data Governance frameworks, and ensuring strict Data Compliance across our massive data ecosystem. This role is designed for an engineer who thrives on ownership, possesses strong computer science fundamentals, and is ready to tackle the complex distributed systems challenges inherent in managing high-velocity, high-volume data that directly impacts company revenue.
Responsibilities
~1 min read- →
Requirements
~1 min readExperience with Big Data processing frameworks, specifically Apache Spark (PySpark or Scala-Spark).
Hands-on experience with modern data platforms like Databricks and orchestration tools like Apache Airflow.
Experience building, maintaining, and scaling complex ETL processes.
Familiarity with cloud computing platforms (AWS, GCP, or Azure) and related infrastructure.
Understanding of distributed systems concepts and proficiency in Low-Level Design (LLD).
What We Offer
~2 min readLocation & Eligibility
Listing Details
- Posted
- May 12, 2026
- First seen
- May 13, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 137
- Repost count
- 0
- Trust Level
- 19%
- Scored at
- September 27, 2026
Signal breakdown
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