Data Engineer

Key Responsibilities :

• Develop and maintain scalable data pipelines and ETL processes.
• Use Python and PySpark to perform data processing and transformation.
• Write efficient and optimized SQL queries for data extraction and analysis.
• Design and implement data models to support business and analytical requirements.
• Build and maintain CI/CD pipelines for reliable data engineering deployments.
• Ensure data quality, consistency, and reliability across data workflows.
• Collaborate with cross-functional teams to understand requirements and deliver robust data solutions.
• Troubleshoot and optimize data pipelines and processing workflows.

Eligibility Criteria :

• Minimum 5 years of relevant Data Engineering experience is mandatory.
• Candidates must have 5 - 9 years of total relevant experience.
• Candidates outside the specified experience range will not be considered.
• Strong hands-on experience in Python, PySpark, and SQL is required.
• Immediate joiners only.