Data Engineer Trainee

Key Responsibilities

• Develop and maintain ETL pipelines for large-scale data processing in AWS/Snowflake, ensuring high-quality data integration and transformation
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  Collaborate with front-end and back-end teams to identify and analyze data requirements, designing and implementing scalable data models and schemas
• Utilize big data analytics tools and techniques to optimize data processing and storage, ensuring efficient and accurate retrieval of information
• Monitor and troubleshoot Snowflake/Databricks data pipelines and processes, ensuring data quality and integrity throughout the data lifecycle
• Research and implement cutting-edge technologies and best practices in data engineering, staying up-to-date with industry trends and advancements

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• Conduct data analysis and interpretation to identify patterns, trends, and insights, providing actionable recommendations to improve business performance
• Assist in the development of data governance policies and procedures, ensuring compliance with regulatory standards and data privacy regulations
  

As a data engineer Trainee at Midoffice Data company, you will have the opportunity to work alongside a team of experienced professionals, gaining hands-on experience in the field of data engineering and big data analytics. You will contribute to the design and development of scalable data solutions, harnessing the power of advanced analytics tools to extract valuable insights from vast and complex datasets. This role offers a unique learning experience, allowing you to sharpen your technical skills and expand your knowledge in the domain of big data and analytics. Join us and be a part of our dynamic team, where innovation, collaboration, and professional growth are at the forefront.