2 months ago
Cluj-Napoca, RomaniaSenior
Responsibilities
- Ingest data from multiple sources and perform feature engineering to support modeling data layers.
- Design, implement, and maintain data pipelines for data ingestion, processing, and transformation.
- Create and maintain Azure data solutions using Data Factory, Synapse, or Microsoft Fabric.
- Implement data validation and cleansing procedures to ensure data quality, integrity, and dependability.
- Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
- Monitor and resolve data pipeline issues while maintaining data consistency and availability.
Requirements
- Strong Python skills.
- Knowledge of data design principles, including Kimball and Star Schema concepts.
- Knowledge of data warehousing and data modeling concepts.
- Strong experience with relational databases and ideally NoSQL databases.
- Strong understanding of ETL/ELT processes.
- Exposure to data monitoring and observability tools.
Benefits
- Inclusive and respectful work environment committed to supporting employees from diverse backgrounds.
- Recruitment adjustments and support are available for candidates who need them.
About Endava
Endava is a London-headquartered IT services company that designs, builds, and runs digital platforms for enterprises across payments, banking, insurance, retail, telecoms, and media. It provides consulting, agile software development, testing, cloud, and managed services on a project and outsourcing basis. Founded in 2000, Endava is a public company listed on the NYSE and operates across Europe, the Americas, and Asia.