Required total & relevant experience:

6-8 years

Technical skills:

- Early Joiners
- Cloud Azure | No AWS
- Python and pyspark
- Open AI
- Back end – Azure SQL DB
- Azure Data Engineer AI
- Data bricks - ADB
- Communication.

- React and NodeJS – understanding.

Desired candidate Profile Snapshot:

Key Responsibilities:

- Data Quality Engineering & Automation
- Design and develop data quality profiling pipelines using PySpark, Python, and Databricks to ensure data accuracy and reliability.
- Build automated validation, cleansing, and anomaly detection frameworks leveraging ML/AI models.
- Integrate OpenAI APIs for intelligent rule generation, data summarization, and NLP-based insights.
- Full-Stack Development (minimum 4 years in Web & API)
- Develop responsive React-based user interfaces for self-service data quality monitoring and visualization.
- Build and maintain RESTAPIs using Node.js and Python (Flask/Fast API) to serve ML models and DQ metrics.
- Host and manage applications using Azure Web Apps, ensuring secure API connectivity and scalable architecture.
- Cloud and Data Integration
- Work with Azure SQL Database, Azure Storage, and Databricks for seamless data access and validation.
- Integrate data pipelines with APIs, Dataverse, Snowflake, or other cloud data sources.
- Support Azure Application Insights and monitoring integration for performance tracking.
- ML/AI Enablement
- Contribute to ML projects focused on data quality improvement and predictive monitoring.
- Apply techniques like anomaly detection, clustering,



or deep learning to identify data issues proactively.
- Use OpenAI / LLM APIs to automate root cause analysis, data profiling, and rule suggestions.
- Collaboration and Documentation
- Partner with Data engineers, Architect team, Cloud support team and business stakeholders to translate requirements into technical solutions.
- Document DQ frameworks, ML workflows, APIs, and integration processes for reusability and transparency.

Preference will be given to candidate with :

- 4–8 years of experience in software engineering, data engineering, cloud application development, data quality, or ML/AI solutions.
- Strong experience designing and implementing web-based data applications and platforms using React, Python/Node.js, and Microsoft Azure.
- Hands-on experience with Databricks, PySpark, Python, and data processing/data-quality frameworks.
- Proven record of implementing AI-augmented data quality or observability solutions
- Experience in OpenAI API integration or similar LLM-based applications preferred.
- Good understanding of cloud security, authentication/authorization, API security, application monitoring, and scalable application architecture.
- Visualization - Power BI, React based dashboards
- DevOps / Infra - Github, CI/CD pipelines, Azure DevOps

Soft Skills:

- Analytical mindset with high attention to detail.
- Robust communication and collaboration across technical and business teams.
- Innovative problem-solver with a passion for automation and data integrity.

📌 Senior Solution Engineer (Pune)
🏢 Cummins
📍 Pune