We are looking for Senior Data Engineers to join our AdTech team and build scalable, high-performance data platforms that power advertising insights and analytics. The ideal candidate will have solid experience in distributed data processing, ETL pipelines, and Big Data technologies, with hands-on expertise in Spark and Scala.

You will work on designing, developing, and optimizing large-scale data pipelines while collaborating closely with cross-functional engineering teams to build reliable, production-grade data solutions.

Key Responsibilities

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

Candidates who demonstrate:

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 Tal

📌 Senior Data Engineer (India)
🏢 Proximity Works
📍 India