Azure Data Engineer

Hybrid in Fort Worth, TX, US • Posted 17 hours ago • Updated 17 hours ago
Contract Independent
Contract W2
24 Months
Occasional Travel Required
Hybrid
$60 - $70/hr
Fitment

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Job Details

Skills

  • Azure Data Factory
  • Python
  • Apache Spark
  • Azure DevOps
  • CI/CD
  • Power BI
  • Tableau

Summary

Job Title: Azure Data Engineer

Location: Fort Worth, TX (Hybrid)

Duration: Long Term (12 Months+)

Experience: 5 7 Years

Employment Type: W2 OR 1099 Contact

 

Job Summary

We are seeking an experienced Azure Data Engineer with 5 7 years of hands-on experience in Azure-based data engineering, SQL analytics, and cloud data lake solutions. The ideal candidate should have strong expertise in building scalable data pipelines, data integration, cloud-based ETL solutions, and data visualization.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Azure services.
  • Build and optimize ETL/ELT workflows using Azure Data Factory (ADF).
  • Develop and manage data processing solutions using Azure Databricks, Python, and Apache Spark.
  • Design and maintain Azure Data Lake solutions for structured and unstructured data.
  • Write efficient SQL queries for data extraction, transformation, and analytics.
  • Collaborate with business stakeholders to understand data requirements and deliver high-quality data solutions.
  • Implement CI/CD pipelines using Azure DevOps for automated deployments.
  • Monitor, troubleshoot, and optimize data workflows for performance and reliability.
  • Create dashboards and reports using Power BI and Tableau to support business decision-making.
  • Follow best practices for data governance, security, and cloud architecture.

Required Skills

  • 5 7 years of experience in Azure Data Engineering.
  • Strong hands-on experience with Microsoft Azure services.
  • Expertise in Azure Data Factory (ADF).
  • Experience with Azure Databricks and Apache Spark.
  • Strong programming skills in Python.
  • Advanced SQL development and performance tuning.
  • Experience working with Azure Data Lake Storage (ADLS).
  • Hands-on experience with Azure DevOps and CI/CD implementation.
  • Experience with Power BI and Tableau.
  • Good understanding of data modeling, ETL/ELT, and cloud data integration.
  • Strong analytical, problem-solving, and communication skills.

Preferred Skills

  • Experience with Delta Lake and Lakehouse architecture.
  • Knowledge of Azure Synapse Analytics.
  • Familiarity with Agile/Scrum methodologies.
  • Microsoft Azure Data Engineering certifications are a plus.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90767752
  • Position Id: 9020825
  • Posted 17 hours ago
Contact the job poster
SB

Satyasri Bhanuteja

Recruiter @ SATCON Inc
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