Data Engineer

About The Role

Our Data Team is looking for a passionate and talented Data Engineer to join our data team. In this role, you will help build and maintain data pipelines and infrastructure that support the company's data-driven decision-making processes. This is an exciting opportunity for someone who loves music and data and wants to contribute to shaping the future of our industry.

Responsibilities:

Data Pipeline Development:

• Assist in designing and developing data pipelines that collect, process, and store data from music-related sources such as streaming platforms, royalties systems, and social media.
• Work closely with the data team to ensure data pipelines meet the analytical needs of the business.

Data Warehousing and Storage:

• Help maintain and optimize our data warehouses, ensuring data is structured and stored in a way that is easily accessible for analysis.
• Support the development of data models that maintain data integrity and reliability.

Data Quality and Monitoring:

• Implement and run data quality checks to ensure that the data being used by the company is accurate, consistent, and reliable.
• Monitor data pipelines for performance issues, troubleshooting and resolving any problems to minimize downtime.
• Assist in developing tools and alerts to proactively monitor data flows and address issues as they arise.

Integration and Collaboration:

• Work on integrating data from various internal and external sources, such as streaming data from platforms like Spotify and YouTube, into our data infrastructure.
• Collaborate with other engineers and departments to integrate new data sources and refine existing data pipelines.
• Participate in cross-functional projects to leverage data for improving business outcomes, such as optimizing royalty payments or tracking song performance.

Learning and Development:

• Stay updated with the latest trends and technologies in data engineering and the music industry.
• Engage in continuous learning to enhance your technical skills and contribute innovative solutions to the team.
• Participate in team meetings and brainstorming sessions to help drive the company's data strategy forward.

Qualifications:

Educational Background:

• Bachelor's degree in Mathematics, Information Systems, Computer Science, Engineering, Data Engineer, or a related field.
• Minimum 2-3 years of relevant experience in Data Engineering.

Technical Skills:

• Proficiency in SQL, and NoSQL and experience with database management systems.
• Familiarity with programming languages such as Python
• Familiarity with visualization tools such as Metabase is a plus.
• Understanding of data warehousing concepts and ETL/ELT processes.
• Basic understanding of containerization (e.g., Docker) and orchestration concepts.
• Exposure to on premise (Hadoop) & Cloud platforms like Google Cloud is a plus.
• Experience with big data technologies (e.g., Airflow, Spark, Dbt, Flink) is advantageous.
• Experience with implementing APIs for seamless data integration and interoperability across diverse databases/systems is advantageous

Soft Skills:

• Strong analytical and problem-solving skills.
• Good communication and collaboration abilities.
• Attention to detail and commitment to data quality.
• Eagerness to learn and adapt to new challenges.
• Go-getter able to work independently.

*Portfolio needs to be attached to CV