Senior Data Engineer – AdTech

This is a fully remote position, open to applicants in India.

📋 Description

• Design, develop, and maintain scalable ETL pipelines for extensive data processing.

• Construct and enhance distributed data applications utilizing Spark and Scala.

• Create dependable, high-performance data pipelines for both batch and streaming workloads.

• Manage large datasets to ensure data quality, consistency, and performance.

• Collaborate with engineering, product, and analytics teams to provide robust data solutions.

• Optimize data workflows for scalability, reliability, and cost-effectiveness.

• Deploy and oversee data workloads in cloud and containerized settings.

• Diagnose production issues and continuously enhance platform performance.

⛳️ Requirements

• Over 5 years of experience in Data Engineering or Big Data Engineering.

• Strong practical experience with Apache Spark and Scala.

• Proven experience in building and maintaining ETL pipelines.

• Knowledge of Google Cloud Storage (GCS).

• Familiarity with Kubernetes (K8s).

• Proficient SQL skills and an understanding of distributed data processing.

• Excellent debugging, problem-solving, and performance optimization abilities.

• Strong communication and collaboration skills.

• Good to Have

• Experience with AWS and cloud-native data services.

• Familiarity with streaming technologies like Kafka.

• Experience with large-scale data platforms or AdTech systems.

• Exposure to orchestration tools such as Airflow.

🏝️ Benefits

• Competitive salary: We attract top talent and provide appropriate compensation.

• Proximity Talks: Engage and learn from designers, engineers, product leaders, and AI experts.

• Continuous learning: Collaborate with a world-class team and stay updated with the latest in AI, engineering, and product development.

• High-impact work: Develop AI-first systems and products utilized at scale by global clients.