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.

  • 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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