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Python Engineer – Senior Experience: 5–7 Years Location: Mumbai / Pune Employment Type: Full-Time Work Mode: Hybrid (3 Days per Week from Office) Shift Timing: 12:00 PM – 9:00 PM Job Summary We are looking for a skilled and motivated Senior Python Engineer to join our growing technology team. The ideal candidate will have strong experience in Python development, cloud-based data solutions, ETL pipeline development, and modern web technologies. The role involves building scalable applications, developing data processing workflows, and collaborating with cross-functional teams to deliver high-quality solutions. Key Responsibilities • Design, develop, test, and maintain backend applications using Python. • Build and support ETL processes and data pipelines for data integration and transformation. • Develop and manage workflow orchestration using Apache Airflow. • Work with AWS services, including AWS Glue and other cloud-native technologies, to build scalable data solutions. • Develop and optimize distributed data processing jobs using PySpark. • Collaborate with frontend teams to integrate React.js applications with backend services. • Design and develop RESTful APIs and microservices. • Write efficient SQL queries and work with relational databases for data management and reporting. • Participate in code reviews, debugging, performance tuning, and application optimization. • Implement and maintain CI/CD pipelines and version control practices using Git. • Work closely with stakeholders, business analysts, and development teams in an Agile environment. • Troubleshoot production issues and ensure application reliability and performance. Required Skills & Qualifications Educational Qualification • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Technical Skills • Strong experience in Python development. • Hands-on experience with React.js and modern JavaScript frameworks. • Experience designing and implementing ETL processes and data pipelines. • Hands-on experience with AWS Glue and AWS cloud services. • Experience with Apache Airflow for workflow orchestration. • Strong knowledge of PySpark and distributed data processing concepts. • Experience with SQL and relational databases. • Familiarity with Git, CI/CD pipelines, and Agile methodologies. • Understanding of REST APIs and microservices architecture. Preferred Skills • Exposure to cloud-native application development and data engineering practices. • Experience working with large-scale data processing environments. • Knowledge of performance optimization and troubleshooting techniques. • Strong communication and collaboration skills. • Ability to work independently and manage multiple priorities effectively. Key Competencies • Python Development • Data Engineering & ETL • AWS Cloud Services • Apache Airflow • PySpark • SQL & Database Management • Problem Solving & Analytical Thinking • Agile Development Practices • Collaboration & Teamwork
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