Jobs → Data & Analytics → Senior Cloud Data Engineer

About the Role We are looking for an experienced Senior Cloud Data Engineer with strong expertise in Azure, Databricks, PySpark, Python, SQL, and Cloud Data Engineering. Candidates must have banking domain experience and a proven track record of building scalable enterprise data platforms. Key Responsibilities • Design and implement scalable enterprise data platforms • Develop ETL/ELT pipelines using PySpark and Databricks • Work with dimensional data modeling and data warehousing • Integrate various data 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 Azure Cloud & Databricks expertise • Experience with Apache Spark & Delta Lake • Knowledge of ETL/ELT Pipeline Development • Data Warehousing & Dimensional Data Modeling skills • OLTP, OLAP, Facts & Dimensions understanding • Data Integration & Cloud Migration experience • Streaming Technologies & Event-Based Processing knowledge • Experience with Azure Synapse, Snowflake, BigQuery, Redshift • Apache Airflow experience (plus) • Banking / Financial Services Domain Experience • Bachelor's degree in Engineering or Computer Science