Data Engineer, Muse Group
Core Analytics Team
Tools, communities, and content for musicians
Job no longer available
Tools, communities, and content for musicians
201-500 employees
Job no longer available
201-500 employees
Company mission
To change the lives of musicians every day.
Role
Who you are
- Database Design: Proficiency in designing databases with massively parallel processing (MPP) appliances such as Druid, BigQuery, ClickHouse, PostgreSQL, and similar technologies
- Experience in Deploying Code: Minimum of 4-5 years hands-on experience in deploying production-quality code
- Programming Languages: Professional experience in using Python, Java, or Scala for data processing, with a preference for Python. Familiarity with data-related Python packages
- ETL/ELT Implementation: Hands-on experience in implementing ETL (or ELT) best practices at a large scale
- Streaming and Data Platform Technologies: Experience with streaming technologies such as Kafka, and data platform technologies including ClickHouse, MongoDB
- Data Pipeline Tools: Hands-on experience with data pipeline and workflow management tools such as Airflow, Luigi, Azkaban, and dbt
- SQL Expertise: Expertise in structured query language (SQL), including knowledge of query optimization techniques
- Version Control: Proficiency in using Git Distributed Version Control System (DVCS)
- DevOps and Agile Practices: A strong understanding of and commitment to DevOps culture, including continuous integration and continuous delivery, as well as an Agile mindset
What the job involves
- Maintenance and Transition of Data Platforms: - Maintain existing data solutions while concurrently developing a new, more robust data platform. - Manage the transition from the current architecture to the target architecture smoothly, ensuring continuity and minimizing disruption to data services.
- Infrastructure Building for Data: - Build and maintain the infrastructure required for effective data storage, processing, and provisioning to internal and external - Enable diverse teams to work with data efficiently, providing capabilities for data processing, transformation, merging, ad-hoc querying, and analysis
- Dataset Preparation: - Prepare and aggregate datasets from various sources as per specific requests, ensuring data is clean, structured, and integration-ready
- Monitoring and Service Level Agreements (SLAs): - Establish and maintain monitoring systems for data delivery and processing -Define and implement SLAs, and analyze metrics to ensure compliance and performance standards are met
- Data Reconciliation Solutions: - Develop built-in solutions for data reconciliation to ensure data integrity and accuracy across systems and processes.
- Management of Large and Complex Data Sets: - Assemble large and complex data sets that adhere to both functional and non-functional business requirements - Ensure datasets are conducive to addressing business cases and can be effectively used for strategic decision-making
- Improvement Recommendations: - Continuously assess data systems and processes, recommending ways to enhance data reliability, efficiency, and quality. - Advocate for and implement best practices in data management, staying abreast of industry trends and technological advancements to drive continuous improvement.
- Architectural Design for Data Integration:
- Construct and manage the architecture for data integration solutions, ensuring that it aligns with and supports business requirements
- Design scalable, reliable, and efficient data structures and integration processes to facilitate effective data collection, storage, and retrieval
- Development of Data Solutions:
- Develop and implement new data solutions including ETL processes, data pipelines, integration services, batch and stream processing, and data enrichment services
- Innovate and optimize data management techniques to enhance data accessibility and utility
- Innovate and optimize data management techniques to enhance data accessibility and utility
Application process
- HR Interview
- Technical Interview with Live coding task (SQL and python) for 1.5 hours
- Final interview with the Global Head of Analytics
Our take
Muse Group was born from the overwhelming success of Ultimate Guitar. Following the launch of Ultimate Guitar’s mobile app in 2007, the company began acquiring other online music brands in 2012. By 2021 the company had acquired 7 companies and launched its own music education platform, MuseClass.
Muse Group now acts as the parent company for some of the most popular music and audio brands in the world, including Audacity, StaffPad, MuseScore, and Tonebridge. Since the formation of Muse Group, the company has been able to streamline cross-product innovation and further its commitment to providing a range of accessible, open-source tools.
With this momentous success, the company is looking to further expand its international network and establish itself as one of the leading providers in the ever-evolving music industry.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Freedom for all: Work remotely or at a co-working place of your choice in your favourite band t-shirt
- Work set up: Get a generous allowance for work equipment and co-working space (for those not in Cyprus)
- Growth and development: Receive specialised training, language lessons, conferences and learning materials
- Team well-being: Access to therapy whenever you need it, and assistance in difficult life circumstances
Company HQ
Limassol, Limassol
Leadership
Eugeny Naidenov
(CEO & Founder)Founder of Ultimate Guitar, which has grown into Muse Group.
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