Data Engineer

Job Description Data Engineer with 3+ years of experience in building scalable data solutions across AWS & Azure. The ideal candidate will have strong expertise in data pipelines, ETL processes, and cloud-based data platforms. Notice Period: Immediate Joiner Qualifications Key Responsibilities: Design develop, and maintain scalable data pipelines and ETL processes Build and optimize data architectures on AWS and Azure platforms Work with large datasets using PySpark, Python, and SQL Develop and manage workflows using AWS Lambda, Azure Data Factory, and Databricks Ensure data quality, integrity, and security across systems Collaborate with cross-functional teams including data analysts and stakeholders Optimize performance and cost of data processing systems Troubleshoot and resolve data-related issues Additional Information Requirements: Hands-on experience with AWS services (Lambda, S3, Redshift, etc.) Strong experience in Python, PySpark, and SQL Experience with Azure Data Factory and Databricks Solid understanding of ETL/ELT processes and data warehousing concepts Experience in building scalable and high-performance data solutions Knowledge of data modeling and data pipeline optimization Familiarity with version control tools like Git