Description

We are looking for an experienced Data Engineer to join our dynamic team. If you're passionate about designing scalable data solutions, optimizing ETL processes, and working with modern cloud platforms, we want to hear from you!

Job Responsibilities

• Design, build, and optimize data pipelines and ETL workflows.
• Develop and maintain data warehouse architectures for high-performance analytics.
• Ensure data quality, security, and scalability across structured and unstructured data.
• Work with cross-functional teams to support business intelligence and AI-driven insights.
   

Required Skills & Technologies:

• 5–10 years of experience in Data Engineering
• Proven experience with Azure Synapse Analytics and Azure Data Factory
• Solid understanding of ETL processes and data modeling concepts
• Ability to collaborate with data engineers, data scientists, and business stakeholders to integrate data sources and develop data models
• Experience with data lake architecture and management (e.g., Azure Data Lake Storage)
• Ensure data quality, security, and compliance with organizational standards and regulations
• Troubleshoot and resolve data analytics issues and errors
• Develop and implement data integration and transformation processes using Azure Synapse Analytics, PySpark, and Azure Data Factory
• Knowledge of Informatica along with Azure Synapse is a plus
   

We are seeking:

• Strong background in data engineering, database management, or software development.
• Proven experience in building scalable data architectures.
• Passionate about leveraging data for business impact.

• Attractive Salary for deserving candidates
• Medical Coverage
• Salary review twice in a year
• Weekly two holidays
• Provident fund
• Two festival bonus
• Quarterly Performance Bonus
• WPPF.