Demo

Senior Data Engineer- AdTech/ Real Time Bidding/ Programmatic Advertising

Invicta Systems
San Francisco, CA Full Time
POSTED ON 3/12/2025
AVAILABLE BEFORE 5/12/2025

Job Details

We are seeking Sr. Data Engineer to join our engineering team. This role is ideal for a skilled developer with a strong background in big data processing, data pipeline development, and distributed systems. As a Data Engineer, you will play a crucial role in designing, building, and maintaining the data infrastructure that powers AI-driven advertising platform. You will collaborate closely with data scientists, software engineers, and product managers to ensure efficient and scalable data solutions.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes for handling large-scale data from multiple sources.
  • Optimize data storage, processing, and retrieval for high-performance analytics and machine learning applications.
  • Work closely with data scientists to prepare, clean, and structure data for machine learning model development and deployment.
  • Develop and maintain real-time and batch data processing systems using technologies like Spark, Kafka, and Flink.
  • Implement monitoring, logging, and alerting solutions to ensure the reliability of data pipelines.
  • Ensure data security, governance, and compliance with industry regulations.
  • Collaborate with engineering teams to integrate data solutions into broader ad-tech infrastructure.

Qualifications & Skills:

  • 3 years of experience in data engineering, big data processing, or related roles (6 years for Senior Data Engineer role)
  • Strong programming skills in Python, Java, or Scala.
  • Experience with distributed data processing frameworks such as Apache Spark, Flink, or Hadoop.
  • Strong understanding of SQL and NoSQL databases for data storage and retrieval.
  • Experience with real-time data streaming technologies like Apache Kafka or Pulsar.
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Bachelor's or Master s degree in Computer Science, Engineering, or a related field.

Thanks & Regards,

Parijat Banerjee

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