Enable job alerts via email!

Azure Data Engineer - Remote(Fulltime)

The Dignify Solutions, LLC

Jersey City (NJ)

Remote

USD 80,000 - 110,000

Full time

Yesterday
Be an early applicant

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

An established industry player is seeking a skilled data engineer to design and implement robust data pipelines using Azure technologies. This exciting role involves collaborating with data scientists to understand data needs and creating efficient workflows. You will be responsible for maintaining data storage solutions and utilizing Azure Data Factory for ETL operations. If you are passionate about data integration and want to contribute to innovative projects, this opportunity is perfect for you.

Qualifications

  • Experience designing and maintaining data pipelines in Azure.
  • Good knowledge of Azure data integration services.

Responsibilities

  • Implement and maintain data pipelines for ingestion and processing.
  • Collaborate with data scientists to create effective data workflows.

Skills

Azure ADF
Databricks
Azure Synapse
ETL Operations
Data Integration

Tools

Azure SQL Database
Azure Data Lake
Azure Blob Storage

Job description

Must have experience with Azure ADF, Databricks, Synapse.

Good knowledge and experience in Azure data integration services such as Azure ADF, Databricks, and Synapse.

Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.

Collaborate with data scientists and analysts to understand data needs and create effective data workflows.

Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.

Utilize Azure Data Factory or comparable technologies to create and maintain ETL (Extract, Transform, Load) operations.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Other

Industries

IT Services and IT Consulting

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.