• Designing DWH schemas.
• Designing a solution and a relationships diagram between different components.
• Supporting other team members and tackling technical issues facing other team members.
• Making a time plan for the project and assessing the needed resources for the planned architecture.
• Taking requirements from business user and delegate it to other team members working together towards solving it.
• Writing python scripts for data manipulation.
• Installing Servers for different visualization tools.
• Developing custom visuals for different visualization tools.

Bachelor’s degree in computer science or equivalent7+ Work experience.3+ years’ experience in Banking industry.Knowledge in team management and agile terminologies.Strong analytical and problem-solving skills.Leading a team of data engineers in the development and maintenance of data pipelines.Proven experience with ETL tools such as Informatica Power Center, Proven experience in using SQL.Proven experience in Design, build, and maintain physical databases, dimensional data models, OLAP cubes, ETL layer design and data integration strategies.Designing and implementing scalable data architecture to support banking operations.Implement data quality, data integrity, and data standardization efforts across products and databases enabling key business processes and applications.Recommend improvements to enhance existing ETL and data integration processes to enable performance and overall scalability.Interact closely with Business Analysis team, ETL team and BI Reporting teams to ensure understanding of proper use of data architecture.Perform end to end data validation to maintain accuracy of data sets.Lead technical design and implementation of dashboards and reporting capabilitiesOwn and manage the entire data analytics project lifecycle, from requirements gathering to implementation and maintenance.