Data Engineer

Data Engineer

Posted Today by 1765352171

Negotiable
Outside
Remote
USA

Summary: The Data Engineer role requires a professional with proven experience in Microsoft Azure technologies, focusing on data engineering tasks. The position emphasizes proficiency in Azure services and programming languages, alongside ensuring database functionality and compliance. The role is remote and classified as outside IR35.

Key Responsibilities:

  • Proven experience as a Data Engineer with a focus on Microsoft Azure technologies.
  • In-depth knowledge of Azure services such as Azure Synapse Analytics, Azure SQL Database, Azure Data Factory, Azure Databricks etc.
  • Proficiency in programming languages like Python, SQL, and knowledge of data manipulation tools.
  • Identified database structural necessities by evaluating client operations, applications, and programming.
  • Implemented procedures to ensure database functionality, quality and compliance.

Key Skills:

  • Proven experience as a Data Engineer with a focus on Microsoft Azure technologies.
  • In-depth knowledge of Azure services such as Azure Synapse Analytics, Azure SQL Database, Azure Data Factory, Azure Databricks etc.
  • Proficiency in programming languages like Python, SQL, and knowledge of data manipulation tools.
  • Ability to identify database structural necessities by evaluating client operations, applications, and programming.
  • Experience in implementing procedures to ensure database functionality, quality and compliance.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Required Skills:

  • Proven experience as a Data Engineer with a focus on Microsoft Azure technologies.
  • In-depth knowledge of Azure services such as Azure Synapse Analytics, Azure SQL Database, Azure Data Factory, Azure Databricks etc.
  • Proficiency in programming languages like Python, SQL, and knowledge of data manipulation tools.
  • Has identified database structural necessities by evaluating client operations, applications, and programming.
  • Implemented procedures to ensure database functionality, quality and compliance.