Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Microsoft Azure Databricks
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an Azure Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for multiple teams and applications. The role also includes developing API-based and web-enabled data solutions using Python frameworks such as FastAPI or Django, while leveraging DevOps practices including CI/CD pipelines to support scalable and reliable deployments.

Roles & Responsibilities:

- Expected to be an SME,



collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to optimize data workflows and improve system performance.
- Mentor junior team members to support their qualified growth and skill development.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Microsoft Azure Databricks, Data Engineering, Microsoft Azure DevOps, Python (Programming Language), FastAPI or Django, CI/CD pipeline implementation, and integration of data solutions with web applications and JavaScript-based frameworks.
- Strong experience in building and managing scalable data pipelines and workflows.
- Expertise in data integration, transformation, and migration techniques.
- Familiarity with cloud-based data platforms and services.
- Ability to troubleshoot and resolve complex data-related issues efficiently.
- Knowledge of best practices in data security and governance.

Additional Information:

- The candidate should have minimum 5 years of experience in Data Engineering.
- A 15 years full time education is required.

15 years full time education

📌 Custom Software Engineer (India)
🏢 Accenture
📍 India