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Azure Data Engineer

00, United StatesRemoteContractPosted 6 days agoVisa sponsorship available

Job Title:
Azure Data Engineer

Experience:
6 to 10+ Years

Industry:
Data Engineering / Cloud / Analytics / Data Platforms

Location:
Remote – US

Employment Type:
Contract (C2C)

Job Brief

We are seeking a highly skilled
Azure Data Engineer
with strong hands-on experience in building scalable data pipelines and modern data platforms on Microsoft Azure.

In this role, you will be responsible for designing, developing, and optimising robust data solutions across cloud environments.

The ideal candidate will bring deep expertise in Azure data services, Snowflake, and distributed data processing, with a strong focus on performance, reliability, and scalability.

Responsibilities

  • Design, build, and maintain scalable data pipelines using Azure data services.
  • Develop and orchestrate ETL/ELT workflows using Matillion and Azure-native tools.
  • Work with large-scale datasets across data lakes and data warehouses.
  • Optimise Snowflake environments for performance, scalability, and cost efficiency.
  • Implement batch and near-real-time data processing pipelines.
  • Collaborate with cross-functional teams to support data integration and analytics requirements.
  • Ensure data quality, consistency, and reliability across pipelines and platforms.
  • Troubleshoot and resolve data-related issues in production environments.

Qualifications

  • 6 to 10+ years of experience in data engineering or related domains.
  • Strong hands-on experience with Microsoft Azure data services including Data Factory, Data Lake Storage, and Synapse.
  • Expertise in Snowflake including schema design, performance tuning, Snowpipe, Streams, and Tasks.
  • Proficiency in Matillion for building and orchestrating ETL/ELT pipelines.
  • Strong experience with Azure Databricks and distributed data processing using PySpark.
  • Advanced programming skills in Python, along with strong SQL querying and optimisation capabilities.
  • Solid understanding of data architecture including data warehouse, data lake, and lakehouse models.
  • Experience designing scalable data pipelines for batch and near real-time processing.

What We Value

  • Strong problem-solving mindset with a hands-on engineering approach.
  • Ability to thrive in fast-paced, delivery-driven environments.
  • Effective communication and collaboration across cross-functional technical teams.

Additional Details

  • Remote role (US-based project).
  • Contract engagement (C2C).
  • Working hours aligned with client requirements.

Application Instructions

If you possess the required qualifications and are eager to work on cutting-edge data platforms, we invite you to apply by sharing your updated resume at
career@gowinsearch.com
or applying directly through this platform.

Note:
While we appreciate all applications, only shortlisted candidates will be contacted.

Your understanding is appreciated.

Please follow our company page https://lnkd.in/gmv2TQDm for regular job updates.

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