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We are looking for a talented and experienced Azure/AWS Data Engineer to join our team. In this role, you will be responsible for designing and implementing data pipelines, data processing systems, and data storage solutions using Azure and/or AWS. The ideal candidate will have a strong background in data engineering and experience working with cloud-based data platforms.




Part Time

What You’ll Do

  • Design, develop and implement data processing and storage solutions using Azure and/or AWS.

  • Develop ETL processes to extract, transform, and load data from various sources.

  • Collaborate with data scientists and analysts to build and maintain data pipelines that support data modeling and machine learning initiatives.

  • Monitor and optimize data storage and processing systems to ensure scalability, reliability, and performance.

  • Develop data quality processes and procedures to ensure the accuracy and consistency of data.

  • Minimum of 8 years of experience in Azure and/or AWS data engineering.

  • Strong knowledge of SQL and NoSQL databases, data warehousing, and ETL processes.

  • Experience working with big data technologies such as Hadoop, Spark, and Kafka.

  • Familiarity with machine learning and data modeling concepts.

  • Excellent problem-solving, analytical, and communication skills.

  • Ability to work independently and as part of a team in a fast-paced environment.

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