Python Data Developer

Join us in revolutionizing the music industry. As the next leader in music technology, Winamp offers a suite of essential services for artists, including the Fanzone, distribution, copyright management, NFTs, and more. For listeners, Winamp provides a unique player experience with direct artist connections, podcasts, radio, and more, all in one place.

We are looking for a passioned Python Data Developer to reinforce our tech team.

What you'll do

1. Data Pipeline Development

• Designing, building, and maintaining data pipelines for efficient data extraction, transformation, and loading (ETL/ELT).
• Integrating data from various sources (e.g., APIs, databases, flat files).
• Writing robust Python scripts for automated data workflows.

2. Database Management

• Creating and managing relational and non-relational databases.
• Writing complex SQL queries for data retrieval and transformation.
• Ensuring data integrity and performance optimization in database systems.

3. Data Analysis & Processing

• Performing data preprocessing tasks such as cleaning, deduplication, and formatting.
• Analyzing large datasets to extract meaningful insights.
• Developing algorithms for data manipulation and aggregation.

4. API Integration and Development

• Consuming and integrating third-party APIs to collect data.
• Developing APIs to expose data for use by other systems or applications.

5. Working with Big Data Technologies

• Implementing scalable solutions using big data frameworks (e.g., Apache Spark, Hadoop).
• Writing Python scripts for distributed data processing.

6. Data Quality and Testing

• Ensuring data quality by creating validation rules and automated testing.
• Debugging and resolving data-related issues in systems and pipelines.

7. Performance Optimization

• Optimizing code and queries for faster data processing
• Ensuring scalability of data solutions for growing datasets

Who you are

• 2+ years of Python experience with the ability to write and maintain object-oriented Python data applications
• Experience in a batch data processing environment or similar with large data jobs using automation
• Experience with ETL pipelines and Data Lakes
• Proficient in SQL and experience with relational databases (e.g., PostgreSQL).
• Experience working with RESTful APIs for data integration
• You are a true data (and music) lover
• Autonomous, able to work independently
• Quick learner that can work and troubleshoot problems independently
• A start-up, agile mindset: you are comfortable with frequent changes and thrive in fast-paced environments
• Fluent in English and French

Nice to have

• Previous experience with PostgreSQL
• Proficiency with Linux, Bash, and understanding of Linux server architecture and operation
• Experience running profilers, debuggers, and general troubleshooting/debugging
• Ability to analyze performance of large and small data queries, jobs, and pipelines to find and fix bottlenecks
• Knowledge of Azure, Docker, and Git version control systems (GitLab and/or GitHub)
• DataOps skills
• Understanding of scikit-learn, TensorFlow, or PyTorch for basic machine learning tasks
• Experience preparing data for AI/ML models