Data Engineer/Senior Data Engineer - BLR

About Us

Aarki is an AI company that builds advertising solutions to drive mobile revenue growth. We use AI to find audiences in a privacy-first world by using trillions of contextual bidding signals coupled with proprietary behavioral models. Our audience engagement platform includes a full-service agency team and Unified Creative Strategy that delivers ad creative ideation and execution. We have worked with hundreds of advertisers over 14 years and see 5M mobile ad requests per second from over 10B devices driving performance for publishers and brands. It is independently operated and headquartered in San Francisco, CA with offices across the United States, EMEA, and APAC.

Role Overview:
Aarki is seeking a talented 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 Aarki's 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 Aarki's 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.

If you're passionate about data engineering and want to work on innovative AI-driven advertising solutions, we'd love to hear from you! Apply today.