Job Description
Service Analytics encompasses three key areas:
- Digital Product Lifecycle: Support for the maintenance and development of digital products
- Experimentation and Data Insights: Prototyping, identifying data-driven value, seamless transition to product, applying advanced AI/ML methods
- Data Support: Designing and implementing data-driven products
Profile / Requirements
- Several years of experience with Snowflake
- Several years of experience with DBT
- Knowledge of data-focused programming languages, such as Python or R
- Experience in maintaining data pipelines
- Experience with various types of data storage (file systems, relational, MPP, NoSQL) and working with different data types (structured, unstructured, metrics, logs, etc.)
- Understanding of data architecture concepts (in areas such as data modeling, metadata management, workflow management, ETL/ELT, real-time streaming, data quality, distributed systems)
- English language proficiency at C1 level