About the job
About Us
At Verve Group, we have revolutionized the advertising landscape by providing a more efficient and privacy-conscious approach to purchasing and monetizing ads. Our innovative ecosystem combines demand and supply technologies, integrating data, media, and technology to achieve remarkable growth and results for both advertisers and publishers worldwide. With 30 global offices and a commitment to serving pioneering advertising clients, our solutions are trusted by over 90 of the top 100 advertisers in the United States and 4,000 publishers globally. Discover more at www.verve.com.
About You
We are seeking a talented Senior Data Engineer to join our dynamic Data Processing team at Verve. This team is integral in designing and maintaining both scalable real-time and batch data processing pipelines that facilitate high-quality insights and analytics. You will collaborate closely with our Data Analytics and Data Science teams to ensure seamless data flow across the organization.
In this role, you will be responsible for developing and optimizing data processing workflows, ETL pipelines, and streaming solutions. Attention to detail, efficiency, and high-quality output are crucial, as you will be reporting to the Engineering Manager for Data Processing.
If you are passionate about big data technologies, real-time data processing, and enhancing large-scale ETL workflows, we would love to connect with you!
This is a hybrid role requiring three days per week in our Bengaluru office.
Key Responsibilities
Design, develop, and maintain scalable, efficient, and cost-effective data pipelines for both real-time and batch processing.
Create high-performance ETL workflows utilizing Kafka, Apache Spark, and Scala.
Implement best practices for data modeling, storage, and retrieval to ensure high availability and reliability.
