> Markdown version of [/jobs/ext/557179-azure-databricks-engineer](https://www.wearedevelopers.com/jobs/ext/557179-azure-databricks-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Azure Databricks Engineer

- **Company:** Infosys
- **Location:** Ann Arbor, MI, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Software Applications, Software Bug Management, Code Review, Data Governance, Extract Transform Load (ETL), Data Warehousing, DevOps, Distributed Computing Environment, NoSQL, Systems Integration, Strategies of Testing, Enterprise Data Management, Data Ingestion, Reliability of Systems, Gitlab, Git, Kubernetes, Data Analytics, Real Time Data, Software Version Control, Data Pipelines, Serverless Computing, Key Vault, Databricks
- **Published:** June 12, 2026
- **Apply:** https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25633&siteid=5439&PageType=JobDetails&jobid=2246813

## About the Role

A collaborative spirit and excellent communication skills.
The ability to handle end to end SDLC phases from requirement gathering to implementation.
A knack for translating complex requirements into actionable development tasks.
A passion for design and hands-on coding experience
A proactive approach to testing, troubleshooting, and refining our applications.
The ability to work with cross-functional teams and do software integration., Hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python)
Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version control (Git/GitLab)
Experience designing, building, and optimizing scalable data pipelines using Azure Databricks
Experience performing data ingestion, transformation, and processing for enterprise data platforms
Experience collaborating with onsite stakeholders and cross-functional teams to gather requirements and deliver solutions
Experience applying core data engineering principles (ETL/ELT, distributed processing, data governance), Experience in real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools., * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

 * This position may require relocation and/or travel to work/project location.
 * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.

## Description

In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below:

Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
Conduct code reviews, do changes to the codebase and maintain code repositories
Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects


## Related Videos

- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)

## Related Articles

- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)