Azure Data Engineer

Job Title: Azure Data Engineer

Location : Dallas, TX or Charlotte, NC

(Hybrid Onsite Role-3 Days Onsite Per Week)

Duration : Fulltime

Teams Meeting Interview

Job Description:

We are looking for a Data Engineer with strong experience in Azure and Apache Spark to design and build scalable, high-performance data solutions. The ideal candidate will work on modern cloud data platforms, ensuring reliable data pipelines and supporting analytics and business intelligence needs. Familiarity with Databricks and Collibra will be an added advantage.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Azure services

Build and optimize Spark-based data processing applications

Implement ETL/ELT workflows for batch and real-time data processing

Work with Azure Data Factory (ADF) or similar tools for orchestration

Store and manage data in Azure Data Lake (ADLS) or cloud storage systems

Perform data transformation, cleansing, and validation

Ensure data quality, governance, and security compliance

Collaborate with analysts, data scientists, and business stakeholders

Monitor, debug, and optimize data workflows

Required Skills \& Qualifications

Technical Skills

• Strong hands-on experience with Microsoft Azure (ADF, ADLS, Synapse or similar)
• Solid experience in Apache Spark (PySpark preferred)
• Proficiency in Python and SQL
• Experience in designing data pipelines and data models
• Good understanding of data warehousing concepts
• Experience with version control and CI/CD pipelines (e.g., Azure DevOps)

Nice-to-Have Skills

• Experience with Azure Databricks for distributed data processing
• Exposure to Collibra or similar data governance/catalog tools
• Knowledge of Delta Lake architecture
• Familiarity with streaming technologies (Kafka, Event Hub)
• Experience with BI tools such as Power BI