Job Overview and Responsibilities

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.

Responsibilities:

• 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.

Key Requirements

• 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

Why You Should Apply This Position

• Welcome Gift (new hires)
• Incentives (base on individual & company performance)
• Mental Health off days
• Annual Leave
• Birthday Gift
• Service Award
• Private Health Insurance
• Work From Home (2 days per week)