Data Engineer for Scalable AI Solutions

1 month ago


Bengaluru, Karnataka, India Pixis Full time
About Pixis

Pixis is a US-based codeless technology company that develops accessible AI to empower brands to scale their performance marketing efforts seamlessly.

Our mission is to equip marketers with robust plug-and-play AI products, 200+ proprietary, self-evolving AI models without writing a single line of code.

We have raised $209M across Series A, B, C, and C1, backed by investors including SoftBank Vision Fund 2, Touring Capital, Grupo Carso, General Atlantic, Celesta Capital, and Chiratae Ventures.

Career Opportunities

We are seeking a talented Data Engineer to join our Data Platform team. The ideal candidate will build and maintain scalable data infrastructure and solutions to support the company's AI-powered marketing platform.

The role involves working with technologies like Apache Flink, Nessie, Lakehouse Architecture, Apache Iceberg, Apache Doris, and Prefect.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and systems using streaming technologies like Apache Flink.
  • Work on Lakehouse architecture to enable efficient data storage, management, and processing.
  • Implement data versioning and cataloguing using Apache Nessie and optimize data for analytics and querying with Apache Iceberg.
  • Design and manage large-scale, real-time data flows for various use cases like streaming, batch processing, and analytics.
  • Work on advanced data modelling techniques and performance optimization using Apache Doris.
  • Implement and maintain orchestration workflows using Prefect to ensure the smooth execution of complex data pipelines.
Requirements
  • 3 to 6 years of experience in data engineering, building scalable data pipelines, and processing frameworks.
  • Hands-on experience with stream processing technologies like Apache Flink.
  • Experience with Lakehouse architectures, including data lakes and data warehouses.
  • Proficiency in Apache Iceberg for managing large-scale datasets.
  • Knowledge of Apache Nessie for version-controlled data lakes.
  • Experience with modern orchestration tools like Prefect, Airflow, or similar.
  • Proficiency in distributed systems, SQL, and data modelling.
About the Role

This is an exceptional opportunity to work with a talented team of engineers, developing cutting-edge AI solutions that drive business growth.

As a Data Engineer at Pixis, you will have the opportunity to design, build, and maintain scalable data infrastructure and solutions that support the company's AI-powered marketing platform.

Salary Estimate

The estimated salary range for this position is between $150,000 and $250,000 per annum, depending on location and experience.


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