Senior Data Engineer with Python and Databricks

Work together with data scientists and analysts to understand the needs for data and create effective data pipelines
Solution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using could services and other technologies
Create and maintain data solutions IN Azure, using any of the following: Data Factory, Synapse, Databricks/Spark, Polars/Pandas, Fabric
Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
Monitoring and resolving data pipeline problems, ensuring consistency and availability of the data.
Proficient in Python and SQL
Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.
Strong experience with Relational and ideally NoSQL databases.
Strong understanding of ETL/ELT processes.
Exposure to data monitoring and observability tools.
Relevant experience with Event-Driven Architecture
Good understanding of Agile ways of working

Employment type
Full-time

Work arrangement
Hybrid