.NET Full-Stack Developer (Azure Databricks)

Job Description

  • Contractor
  • Anywhere

Are you an experienced Senior Data Engineer with expertise in Azure Databricks? Apply Now!

Working with one of our top financial clients, this role calls for a .NET Full-Stack Developer (Azure Databricks). The ideal candidate will develop, operationalize, and support scalable data solutions leveraging Azure Databricks, Python, SQL, and cloud data platforms to handle large-scale data processing and management needs in a secure and reliable manner.

Responsibilities

Develop and maintain enterprise-grade data solutions in Azure Databricks, ADLS, ADF, Azure SQL, and Airflow.
Automate data ingestion, transformation, notebook execution, and deployment activities.
Collaborate with operations teams to ensure seamless integration of data pipelines and API services.
Design, build, and support scalable data architectures capable of processing multi-millions of records daily.
Lead technical initiatives and promote modern data engineering practices and reusable frameworks.
Engage with stakeholders to interpret business needs, translate requirements, and implement solutions accordingly.
Monitor system performance and implement improvements to enhance reliability and efficiency.
Stay current with industry trends, emerging technologies, and best practices in cloud data engineering.
Desired Skill-Set

7+ years of relevant experience in data engineering.
Strong expertise in Azure Databricks, Python notebooks, and job orchestration.
Proficient in SQL development and API service layer implementation.
Deep hands-on experience with ADLS, ADF, Azure SQL, Airflow, Unity Catalog, and Lakeflow.
Excellent communication, facilitation, and stakeholder management skills across technical and business teams.
Ability to lead technical projects and influence best practices across teams.
Nice to Have

Experience integrating AI into the SDLC with reusable prompts and agents.
Building enterprise-grade software and scalable data solutions.
Designing systems capable of handling multi-million record processing with high reliability and governance.