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Infosys is seeking an Azure Databricks - Data Engineer who will play a pivotal role in providing technical guidance to teams and anchoring Proof of Concept developments. This position involves supporting opportunity identification and pursuit processes while actively promoting the Infosys brand. The successful candidate will collaborate with some of the best talent in the industry to create and implement innovative, high-quality solutions. The work environment fosters a learning culture where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. In this role, you will be responsible for orchestrating data ingestion from various sources into Azure Synapse and Azure Data Lake Storage (ADLS) using Azure Data Factory (ADF). You will also design and implement data pipelines using Azure Databricks for data cleaning, transformation, and loading into Azure Synapse Analytics. Your hands-on experience with Azure, Databricks, and Hadoop distributed frameworks will be crucial as you handle large amounts of big data using Spark and the Hadoop Ecosystem. Additionally, you will be involved in the end-to-end implementation of data warehouses and data marts, and you will utilize your SQL skills to analyze Type-2 dimension data. The ideal candidate will have a strong understanding of implementing Medallion Architecture using Azure Services and will be expected to contribute to the overall success of the data engineering team. This position requires a proactive approach to problem-solving and a commitment to delivering high-quality results in a fast-paced environment.
