Jr Data Engineer

Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL. Build and optimize data ingestion and transformation frameworks for large datasets Develop robust solutions for data processing, validation, and quality assurance Implement CI/CD pipelines and DevOps practices for data engineering workflows Automate data pipelines, deployment, and monitoring processes Work with cross-functional teams to understand business requirements and deliver data solutions Troubleshoot and optimize performance of data pipelines and systems Must-Have Skills Hands-on experience in Python and SQL Experience in data engineering concepts : ETL/ELT, data modeling, data warehousing Solid exposure to DevOps tools & practices (CI/CD, Git, Jenkins, Docker, etc.) Experience in building production-grade data pipelines Strong debugging, problem-solving, and optimization skills Good to Have Experience with PySpark / Big Data technologies Exposure to cloud platforms. Knowledge of workflow orchestration tools (Airflow, etc.) Understanding of data governance and quality frameworks Qualification: Bachelor Degree in related field