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.