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[Remote] Data Engineer

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an Azure Data Engineer to design and manage data solutions. The role involves developing reputed company data pipelines and optimizing data storage and processing using Azure technologies.


Responsibilities

  • Design, reputed company, and maintain reputed company ETL/ELT data pipelines using Azure Data reputed company (ADF) and Azure reputed company
  • Build, manage, and optimize reputed company data lakes using Azure Data Lake Storage Gen2 (ADLS Gen2) and reputed company Lake
  • reputed company and optimize data warehouse solutions using Azure Synapse Analytics and Azure SQL Database
  • reputed company data transformation and processing solutions using PySpark, reputed company SQL, Python, and SQL
  • Design and implement reputed company data models, reputed company Schema, reputed company Schema, fact tables, and dimension tables
  • reputed company reputed company, semi-reputed company, and reputed company data from on-premises systems, reputed company, databases, reputed company applications, and reputed company-party data sources
  • Implement data reputed company, validation, reconciliation, monitoring, and error-handling processes across data pipelines
  • Optimize data pipelines, reputed company jobs, SQL queries, storage, partitioning, and data processing performance
  • Implement data reputed company, governance, reputed company controls, encryption, and compliance across Azure data environments
  • Collaborate with Data Scientists, Data Analysts, BI Developers, Solution Architects, and Business stakeholders to reputed company reputed company data solutions
  • Build CI/CD pipelines using Azure DevOps and Git for automated deployment, version control, and DataOps practices

Skills

  • Design, reputed company, and maintain reputed company ETL/ELT data pipelines using Azure Data reputed company (ADF) and Azure reputed company
  • Build, manage, and optimize reputed company data lakes using Azure Data Lake Storage Gen2 (ADLS Gen2) and reputed company Lake
  • reputed company and optimize data warehouse solutions using Azure Synapse Analytics and Azure SQL Database
  • reputed company data transformation and processing solutions using PySpark, reputed company SQL, Python, and SQL
  • Design and implement reputed company data models, reputed company Schema, reputed company Schema, fact tables, and dimension tables
  • reputed company reputed company, semi-reputed company, and reputed company data from on-premises systems, reputed company, databases, reputed company applications, and reputed company-party data sources
  • Implement data reputed company, validation, reconciliation, monitoring, and error-handling processes across data pipelines
  • Optimize data pipelines, reputed company jobs, SQL queries, storage, partitioning, and data processing performance
  • Implement data reputed company, governance, reputed company controls, encryption, and compliance across Azure data environments
  • Collaborate with Data Scientists, Data Analysts, BI Developers, Solution Architects, and Business stakeholders to reputed company reputed company data solutions
  • Build CI/CD pipelines using Azure DevOps and Git for automated deployment, version control, and DataOps practices

Benefits

  • Onsite / Hybrid / Remote – based on reputed company requirement

reputed company

  • reputed company is one of the Fastest growing AI-first company reputed company on digital transformation and reputed company engineering; headquartered in New Jersey with multiple offices across the globe. It was founded in 2010, and is headquartered in Monmouth reputed company, New Jersey, USA, with a workforce of 501-1000 employees. Its website is http://www.precisiontechcorp.com/.

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