Azure Data Engineer

Sysmind LLC

Job Location:

Dallas, TX - USA

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

Bill Rate: MAX CONFIRMED $75 to $80
Location: ONSITE- Hybrid Dallas TX
Duration: 6 months

Role: Azure Data Engineer

Descriptions:

Key Responsibilities
Data Engineering & Platform Development
Design develop and maintain scalable data pipelines using modern cloud technologies.
Build and optimize data ingestion transformation and integration frameworks.
Develop reusable components utilities and accelerators that reduce development effort and improve delivery speed.
Implement robust data quality monitoring auditability and operational controls.
Design solutions that support both batch and event-driven processing patterns.

Cloud & Modernization Initiatives
Participate in cloud migration and modernization efforts.
Leverage cloud-native services to improve scalability reliability security and cost efficiency.
Evaluate emerging technologies and recommend innovative solutions aligned with enterprise architecture standards.

Engineering Excellence
Apply software engineering principles to data engineering solutions.
Drive automation across deployment testing monitoring and operational support processes.
Continuously improve platform performance reliability and maintainability.
Troubleshoot complex production issues and provide timely resolutions.

Collaboration & Leadership
Partner with business stakeholders architects and product teams to translate requirements into technical solutions.
Mentor junior engineers and promote engineering best practices.
Contribute to architectural discussions and technology evaluations.
Foster a culture of continuous learning innovation and ownership.

Required Qualifications
Bachelors degree in Computer Science Engineering Information Systems or related field.
7 years of experience in Data Engineering Software Engineering or related technical roles.
Strong experience with SQL Python and large-scale data processing.
Hands-on experience with cloud platforms preferably:
Microsoft Azure
Experience with modern data platforms such as:
Databricks
Apache Spark
Strong programming skills in Python.
Experience designing scalable ETL/ELT pipelines.
Familiarity with CI/CD DevOps and Infrastructure-as-Code principles.
Experience working with relational and distributed data platforms.

Preferred Qualifications
Experience with:
Event-driven architectures
Streaming platforms
API integrations
Data warehousing and lakehouse architectures
Knowledge of:
Data governance
Metadata management
Data quality frameworks
Observability and monitoring solutions
Experience building reusable frameworks and shared engineering utilities.
Exposure to AI/ML enablement platforms and modern analytics ecosystems.

What Success Looks Like
The successful candidate will:
Quickly learn new technologies and apply them effectively.
Deliver working solutions rapidly while maintaining engineering quality.
Challenge conventional approaches and identify better ways of solving problems.
Build reusable scalable assets instead of one-off solutions.
Demonstrate strong ownership from design through production support.
Continuously improve operational efficiency through automation.
Balance speed simplicity scalability and maintainability.

Skills: Digital : Google Data Engineering
Experience Required: 10 & Above

Comments for Suppliers:

Role: Role: Azure Data Engineer
Bill Rate: MAX CONFIRMED $75 to $80
Location: ONSITE- Hybrid Dallas TX