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Data Engineer

  • Data Analyst
  • Full-time
  • Bangalore , IN

2023-09-29 08:40:36 UTC


Pollen Tech Pte Ltd is a private B2B marketplace that helps companies buy and sell excess inventory sustainably, with a focus on reducing business waste. As a Data Engineer, you will work as part of a dynamic team to support the development and implementation of data-driven solutions for Pollen's platform. You will be responsible for creating and maintaining data pipelines, data warehousing, and managing various data-related technologies. The ideal candidate will have a strong technical background and be passionate about using data to drive business decisions and improve customer experience.


  • Design and implement data models that support business requirements, and integrate with various data sources and platforms.

  • Develop and maintain data pipelines using ETL tools such as Apache Airflow or AWS Glue.

  • Build and maintain data infrastructure such as data warehouses and data lakes.

  • Collaborate with cross-functional teams to improve data quality, reliability, and accuracy.

  • Monitor and optimize data loads and pipelines for performance and scalability.

  • Perform data analysis to support business decisions and identify trends and patterns in large datasets.

  • Stay up-to-date with emerging data technologies and tools to continually improve Pollen's data management capabilities.


  • Bachelor's degree in Computer Science, Information Technology, or a related field.

  • Minimum of 3 years of experience in data engineering or a related field.

  • Strong programming skills in languages such as Python, Java or Scala.

  • Hands-on experience with cloud-based data platforms such as AWS, Azure or Google Cloud.

  • Experience with data warehousing, ETL, and data modeling techniques.

  • Ability to design and implement data pipelines using tools such as Apache Airflow or AWS Glue.

  • Working knowledge of SQL and NoSQL databases such as PostgreSQL and MongoDB.

  • Excellent problem-solving skills and attention to detail.