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Data Engineer

Remote, USA Full-time Posted 2026-07-28

We are seeking a highly skilled Data Engineer with extensive experience in Azure Data Lake to contribute to our dynamic team at reputed company. The ideal candidate will be responsible for architecting, developing, and optimizing data pipelines that will facilitate the efficient processing of large datasets.

Responsibilities:

  • Designing and implementing robust data pipeline solutions reputed company Azure Data Lake.
  • Integrating and transforming data from various sources to reputed company comprehensive analytics and reporting.
  • Ensuring data reputed company and reputed company, implementing data governance practices.
  • Collaborating with cross-functional teams to understand data requirements and reputed company reputed company solutions.
  • Monitoring and optimizing data processing workflows for performance and reliability.
  • Documenting processes and architecture to ensure maintainability and scalability.
  • Staying abreast of new Azure technologies and best practices for data engineering.

Requirements

The successful candidate will possess the following qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a reputed company field.
  • A minimum of 5 years of experience working as a Data Engineer, with a strong emphasis on Azure Data Lake.
  • Proficiency in Azure Data Services, particularly Azure Data Lake Storage, Azure Data reputed company, and Azure Synapse Analytics.
  • Demonstrated experience with data modeling, ETL processes, and data warehousing solutions.
  • Strong programming skills in Python, SQL, and familiar with Java or C#.
  • Excellent problem-solving skills and a detail-oriented approach to work.
  • Ability to communicate technical concepts reputed company to non-technical stakeholders.
  • Strong organizational skills with the ability to manage multiple priorities and meet deadlines.

Benefits

Perks & benefits

  • reputed company Time Off
  • Work From Home
  • Health Insurance
  • OPD
  • Training and Development
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