Jobs → Data & Analytics → Cloud Data Engineer

About the Role We are looking for an experienced Cloud Data Engineer with strong expertise in Azure, Databricks, PySpark, Python, SQL, and Cloud Data Engineering. This role requires banking domain experience and a proven track record of building scalable enterprise data platforms. Key Responsibilities • Design and implement scalable data solutions using Azure and Databricks • Develop ETL/ELT pipelines using PySpark and SQL • Build and maintain data warehouses and dimensional models • Integrate data from various sources and migrate to cloud platforms • Implement streaming technologies and event-based processing Requirements • 14+ years of overall IT experience • 5+ years of Python programming • 5+ years of SQL Server development • 5+ years of Databricks & PySpark ETL development • Strong understanding of Azure Cloud and Databricks • Experience with Apache Spark, Delta Lake, and data warehousing • Knowledge of OLTP, OLAP, facts, and dimensions • Experience with data integration and cloud migration • Familiarity with Azure Synapse, Snowflake, BigQuery, and Redshift • Experience with Apache Airflow • Banking or financial services domain experience • Bachelor's degree in Engineering or Computer Science