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Senior Python Developer for Data Analytics and Engineering
2 months ago
We are seeking a highly skilled Senior Python Developer to join our team at Synechron. As a key member of our data analytics and engineering team, you will be responsible for designing, developing, and maintaining large-scale data processing pipelines using Python and PySpark.
Key Responsibilities- Data Processing and Analytics: Develop and maintain data processing pipelines using PySpark for large-scale data processing and analytics.
- Collaboration and Communication: Work closely with data scientists and analysts to understand data requirements and implement efficient data processing solutions.
- Performance Optimization: Optimize and tune PySpark jobs for performance and scalability.
- Data Manipulation and Analysis: Utilize Pandas and NumPy for data manipulation, analysis, and modeling tasks.
- Integration and Visualization: Collaborate with cross-functional teams to integrate data from various sources and provide insights through data visualization and reporting.
- Python Programming: Proficiency in Python programming language.
- PySpark Experience: Strong experience with PySpark for big data processing and analytics.
- Pandas and NumPy: Solid understanding of Pandas and NumPy for data manipulation and analysis.
- Distributed Computing: Experience in working with distributed computing and big data platforms.
- Data Visualization: Familiarity with data visualization tools and techniques.
- Problem-Solving and Communication: Strong problem-solving and analytical skills, with excellent communication and teamwork abilities.
- Machine Learning: Experience with machine learning libraries in Python such as scikit-learn, TensorFlow, or PyTorch.
- Cloud Platforms: Knowledge of cloud platforms such as AWS, GCP, or Azure for deploying data processing and analytics solutions.
- Scalable Data Pipelines: Previous experience in developing scalable data pipelines and ETL processes.
- Competitive Compensation: A highly competitive compensation and benefits package.
- Global Opportunities: A multinational organization with 55 offices in 20 countries and the possibility to work abroad.
- Professional Development: Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
- Coaching and Mentorship: Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
- Cutting-Edge Projects: Cutting-edge projects at the world's leading tier-one banks, financial institutions, and insurance firms.
- Diverse and Inclusive Culture: A truly diverse, fun-loving, and global work culture.
