Senior Data Engineer – AdTech

🕒 July 30

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Proximity Works

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Proximity Works is a global tech company specializing in Artificial Intelligence and SaaS solutions. They focus on building high-performance software that leverages cutting-edge AI technologies to enhance productivity and transform business operations. Their services include AI-powered SaaS solutions, UX design, and product engineering to help companies scale effectively. Proximity Works collaborates with industry giants like Nasdaq, Disney, and ESPN, offering expertise in AI strategy, machine learning, and high-caliber product development.

📋 Description

• Design, develop, and maintain scalable ETL pipelines for large-scale data processing. • Build and optimize distributed data applications using Spark and Scala. • Develop reliable, high-performance data pipelines for batch and streaming workloads. • Work with large datasets to ensure data quality, consistency, and performance. • Collaborate with engineering, product, and analytics teams to deliver robust data solutions. • Optimize data workflows for scalability, reliability, and cost efficiency. • Deploy and manage data workloads in cloud and containerized environments. • Troubleshoot production issues and continuously improve platform performance.

🎯 Requirements

• 5+ years of experience in Data Engineering or Big Data Engineering. • Strong hands-on experience with Apache Spark and Scala. • Experience building and maintaining ETL pipelines. • Familiarity with Google Cloud Storage (GCS). • Experience with Kubernetes (K8s). • Strong SQL skills and understanding of distributed data processing. • Excellent debugging, problem-solving, and performance optimization skills. • Strong communication and collaboration skills. • Good to Have • Experience with AWS and cloud-native data services. • Familiarity with streaming technologies such as Kafka. • Experience working on large-scale data platforms or AdTech systems. • Exposure to orchestration tools such as Airflow.

🏖️ Benefits

• Best-in-class salary: We hire strong talent and compensate accordingly. • Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners. • Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development. • High-impact work: Build AI-first systems and products used at scale by global clients.