Senior Solution Engineer

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.
• Strong communication and collaboration across technical and business teams.
• Innovative problem-solver with a passion for automation and data integrity.