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Navsan
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Anywhere · Remote · 1-3 Yrs · Oct 9
51 to 200 Employees · Dallas, US
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Interview experience · AI Support Engineer
The interview went well, but they did not proceed to contact after acceptance. Resume was thoroughly scrutinized and asked the details of my projects and other tech related experiences i've had.
Average difficulty · India · 1 reports
More interview insightsJob description
Remote
Overview
Key Responsibilities
Responsibilities
- Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Microsoft Fabric, Azure SQL Database, and Azure Data Lake Storage (ADLS).
- Build and orchestrate ADF pipelines to ingest data from multiple enterprise systems into the Enterprise Data Warehouse (EDW).
- Develop and optimize ETL/ELT processes for reliable data movement and transformation.
- Create complex SQL/T-SQL queries, stored procedures, views, and data transformation logic.
- Integrate data from diverse sources including databases, APIs, cloud applications, and files.
- Monitor, troubleshoot, and optimize pipelines and production workloads.
- Participate in requirements gathering, design, development, testing, deployment, and support activities.
- Implement CI/CD processes using Azure DevOps and Git.
- Utilize Azure Key Vault, Logic Apps, Azure Functions, and Storage services.
- Support Power BI reporting and analytics requirements.
Qualifications
- Azure Data Factory (ADF), Azure Synapse Analytics, Azure SQL, ADLS, and Microsoft Fabric.
- Strong experience with ETL/ELT processes and data integration.
- Advanced SQL/T-SQL development and database optimization.
- Enterprise Data Warehouse (EDW) concepts and implementation.
- Data modelling including fact/dimension structures and source-to-target mapping.
- Azure DevOps, Git, CI/CD, and release management.
- Pipeline orchestration, monitoring, troubleshooting, and production support.
- Power BI data models and reporting knowledge.
- Strong communication, analytical, and documentation skills.
Nice to have
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
- Microsoft Azure certifications such as DP-203 or Microsoft Fabric certifications
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Job application FAQ
Last updated 16 October 2026
- How do I apply for Azure Data Engineer at Navsan?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Navsan may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Azure Data Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Azure Data Engineer remote or on-site in Anywhere?
- This listing is marked remote with location Anywhere. Confirm details on the job description before applying.
- What skills matter for this Azure Data Engineer role at Navsan?
- This is a mid-level Azure Data Engineer role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.