Platform Data Engineer

Neon Redwood is a data services consulting company, working on cutting-edge AI and data-driven solutions. We are a team of passionate engineers and data experts, and we are currently looking for a Data Engineer to join our team and help us develop and expand our data infrastructure and analytics capabilities.

We are seeking an experienced Data Engineer II with a strong background in data engineering and a passion for working with large-scale data sets. Help us develop and expand our data infrastructure and analytics capabilities.

The ideal candidate will have at least 2 years of professional experience and a solid understanding of Python, BigQuery, and Google Cloud Platform (GCP) or similar technologies. This full-time role will involve working closely with our CTO and other team members to design, develop, and maintain data pipelines, ETL processes, and data warehousing solutions.

• Collaborate with the CTO and other team members to design, develop, and maintain data pipelines and ETL processes.

• Write clean, efficient, and maintainable code in Python and other relevant technologies.

• Implement and optimize data storage and processing solutions using BigQuery and Google Cloud Platform (GCP).

• Ensure data quality and integrity through proper data validation and monitoring techniques.

• Stay up-to-date with the latest industry trends and technologies to ensure our data infrastructure remains competitive.

• Assist in the development and launch of new data-driven tools and products.

• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.

• 2+ years of professional data engineering experience.

• Proficiency in Python, BigQuery, and Google Cloud Platform (GCP) or equivalent technologies.

• Experience with data pipeline and ETL process design and development.

• Excellent problem-solving skills and the ability to work independently or as part of a team.

• Strong communication, collaboration, and a passion to develop leadership skills.

• Passion for working with large-scale data sets and staying current with industry trends.

• Experience with Asana or similar project management tools.

• Experience with other data processing technologies and platforms (e.g., Apache Beam, Dataflow, Hadoop, Spark).

• Experience with data visualization tools and libraries (e.g., Looker, Sigma, D3.js).

• Knowledge of machine learning and AI concepts.

• Experience with real-time data processing and streaming technologies (e.g., Kafka, Pub/Sub).