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Azure Data Engineer

Indotronix UK
New York, NY Full Time
POSTED ON 4/16/2025
AVAILABLE BEFORE 5/15/2025

Location : New York, NY, 10075

Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.

Posted : 01 / 02 / 24

Responsibilities :

  • Design, implement, and optimize data solutions on the Azure cloud platform, ensuring scalability, security, and performance.

Azure Data Factory and Databricks :

  • Develop and maintain data pipelines using Azure Data Factory for efficient and reliable data movement.
  • Leverage Azure Databricks for analytics and data exploration.
  • SQL and DBT :

  • Design and optimize SQL-based queries for data extraction, transformation, and loading processes.
  • Implement and manage DBT (Data Build Tool) workflows to transform raw data into meaningful insights, ensuring data quality and consistency.
  • Data Architecture and Modeling :

  • Collaborate with data architects to design and implement scalable and maintainable data models.
  • Ensure adherence to data governance and compliance standards in data modeling and architecture.
  • Performance Optimization :

  • Identify and address performance bottlenecks in data pipelines and database queries.
  • Implement strategies to optimize data processing and reduce latency in data delivery.
  • Collaboration and Documentation :

  • Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions.
  • Document data engineering processes, data flows, and architecture to facilitate knowledge transfer and ensure maintainability.
  • Qualifications :

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Engineer with a focus on Azure cloud technologies.
  • Strong proficiency in Azure Data Factory, Azure Databricks, SQL, and DBT.
  • 10 years in the data and analytics space with experience in designing and implementing scalable and robust data architectures.
  • Excellent problem-solving skills and the ability to troubleshoot complex data issues.
  • Strong communication skills and the ability to collaborate effectively with cross-functional teams.
  • Relevant certifications in Azure cloud technologies are a plus.
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