Moonshot is seeking a Senior Data Engineer with a strong background in building scalable data architectures and pipelines. The ideal candidate will have a passion for data and a proven track record of managing complex data systems. In this role, you will collaborate with cross-functional teams to enhance data quality, availability, and accessibility, enabling data-driven decision-making across the organization.

Requirements:

• Minimum of 5 years of experience in data engineering, with a focus on data pipeline development.
• Strong proficiency in SQL and experience with NoSQL databases.
• Experience with data processing frameworks such as Apache Spark or Apache Kafka.
• Familiarity with cloud platforms like AWS, Google Cloud, or Azure for deploying data solutions.
• At least 3 years of experience with ETL tools and data integration frameworks.
• Solid understanding of data warehousing concepts and experience with tools like Snowflake or Redshift.
• Excellent problem-solving skills and the ability to work in a collaborative team environment.
  
  

Responsibilities:

• Design, develop, and maintain robust and scalable big data pipelines and ETL processes.
• Define and implement data architectures and infrastructures that support analytics and reporting needs.
• Automate client data collection and transformation workflows to ensure high data quality and consistency.
• Manage and optimize cloud-based databases and tables.
• Build APIs for seamless integration with various data sources.
• Implement and maintain logging and monitoring systems (e.g., Elasticsearch clusters).
• Collaborate with cross-functional teams to deliver end-to-end data solutions.
• Ensure data security, reliability, (integrity)and compliance with best practices.