We are looking to onboard a Senior Data Engineer with strong data engineering skills and knowledge of Corporate Banking / Flexcube to support our Analytics Team. The role will involve integrating banking data into analytics workflows optimizing data pipelines and ensuring high data quality standards. The new hire will ensure efficient data processing and contribute to the successful delivery of ongoing projects. Banking hands-on experience in developing optimizing and managing ETL pipelines particularly for large-scale real-time proficiency in in Python programming -depth experience with Azure services (e.g. Azure Data Factory Azure Databricks) experience with Cloudera/Hadoop ecosystem including HDFS Hive of data governance data quality and data security best Data engineer Professional analytical and problem-solving skills Pipeline Management Design and optimize ETL pipelines to integrate corporate banking data into the data lake (Cloudera/Hadoop Azure Databricks) Integration & Transformation Integrate data from multiple sources transforming it for analytics using Apache Spark and Databricks