Data Engineer – (Data & Analytics) – Banking

We are looking for an experienced professional in Banking Business. Good experience in Datawarehouse, ETL processes and Reporting using SQL Server /Oracle database is a must. Exposure on Azure cloud services, Azure Data Factory (ADF), Azure Synapse Database, ADLS, Power BI are preferable. Key Responsibilities: ? Perform as lead BI architect in developing, designing and implementation of DWH & OLAP processes, visual dashboards, and BI solutions. ? Work extensively with business users to understand business requirements and processes and convert them into technical requirements and solutions. ? Create architecture and underlying technical design documents to communicate solutions that will be implemented. ? Work collaboratively with the team to implement the Data Integration & BI solutions driven by the business requirements. ? Serve as a technical expert in the evaluation and testing of capabilities, characteristics, and requirements of existing and emerging BI technologies. ? Our own engagement, ensure customer satisfaction, timely delivery of KPI, ensure quality of Code & programming, ad hoc troubleshooting, and general system problem solving. Business Knowledge: ? Knowledge of Banking product life cycle. ? Good understanding of various Banking Cross-sell products ? Good understanding of customer journey on Banking portfolio. ? Sound knowledge of Banking Business process and ability to automate the processes around Data warehouse using ETL tool and SQL queries. ? Should be able to learn new concepts quickly, can work well under pressure and able to communicate ideas clearly and effectively. ? Excellent team player to perform individually, Good interpersonal and analytical skills. Work Experience: ? 5-7 or 2-3 years combined experience in DWH/BI development. ? Experience in developing BI solutions using prevalent BI technologies (such as Power BI, Tableau, QlikView, SAS) is a plus. ? Strong analytical, Data Modeling, Creating ETL using ADF, SQL Query writing, Problem solving and debugging skills. ? Experience in working with large, multi-dimensional data sets is required. Familiarity with Big data/databases is desirable. ? Experience with relational databases (e.g. Oracle, MSSQL) is required. Experience with other data manipulation technology is a plus. ? Experience with Any Market leading BI Tool (such as Tableau, QlikView, SAS) will be advantage. Education: ? Bachelor’s degree in computer science, Information Systems, Statistics, or related field. ? Diploma in Computer from reputed institute like NIIT/ Premium Institutes. ? Master’s Degree holders will have an advantage.