Senior Data Engineer with Python and Databricks

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters. Work together with data scientists and analysts to understand the needs for data and create effective data pipelinesSolution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using could services and other technologiesCreate 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 SQLKnowledge 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