Overview

The Data Engineer will be responsible for designing, building, and maintaining the infrastructure and systems that support our data management and analysis efforts.
This individual will work closely with cross-functional teams to design and implement data pipelines, data storage solutions, and data governance processes.

Responsibilities:
  • Design, build, and maintain data pipelines for the collection, storage, and processing of large datasets
  • Develop and implement data storage solutions, such as data lakes and data warehouses
  • Work with cross-functional teams to design and implement data governance processes
  • Collaborate with data analysts and data scientists to optimize data architecture and infrastructure
  • Monitor and troubleshoot data pipeline and data storage issues
  • Stay up-to-date with industry trends and best practices in data engineering
  • Participate in code reviews and provide guidance to other team members
  • Ensure data accuracy and integrity by implementing quality controls and data validation processes
  • Communicate with stakeholders to understand their data needs and ensure they are met
Required Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, or related field
  • 3+ years of experience in data engineering or a related field
  • Strong knowledge of data storage and processing technologies, such as SQL, NoSQL
  • Experience with programming languages such as Python
  • Experience working with cloud-based data storage and processing technologies, such as AWS, Azure, or GCP
  • Strong communication and collaboration skills
  • Strong attention to detail and ability to work in a fast-paced environment
  • Strong experience with SQL and data modeling

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