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No of position :- ( 1 )
Post :- 27th May 2023
• 5+ years - Experience in data mapping techniques.
• 3+ years – Working experience in with finance and treasury functions with expertise in translating functional requirements to technical specifications.
• 3+ years - Strong Working experience in GCP
Technical/Functional Skills:
• Data modeling techniques.
• Reporting technologies such as Power BI, Watch, and Looker.
• Exposure to finance ERP and treasury applications such as Bloomberg, Clearwater, Quantum, and Clearwater is essential.
• 8+ years of post-college experience as a developer and architect in Reporting, Data Modelling, and Interface Engineering.
• Cloud certifications (good to have)
• Experience working in an Agile environment.
• A great communicator with strong project management skills and superb attention to detail
• Experience leading teams in a complex global matrix organization involving multiple reporting lines.
Experience Required:
• 8+ years of experience in data modeling techniques.
• Working knowledge of Reporting technologies such as Power BI, Watch, and Looker.
• Exposure to finance ERP and treasury applications such as Bloomberg, Clearwater, Quantum, and Clearwater is essential.
• Undergraduate degree in Computer Engineering or equivalent from a leading university, preferably with a Master’s degree.
• 8+ years of post-college experience as a developer and architect in Reporting, Data Modelling, and Interface Engineering.
• Cloud certifications (good to have)
• Experience working in an Agile environment.
• A great communicator with strong project management skills and superb attention to detail
• Experience leading teams in a complex global matrix organization involving multiple reporting lines.
Roles & Responsibilities:
• Should be able to design models that reduce data redundancy, streamline data movements, and improve enterprise information management.
• Analyzing and translating business needs into long-term solution data models.
• Collaborate with the development team to develop a data reporting environment across organizational data systems.
• Identify and promote best practices and patterns for data modeling to ensure consistency within the system.
• Integrate the data platform with analytical tools such as Tableau and PowerBI.
• Implement data strategies and develop physical data models.
• Update and optimize local and metadata models.
• Review team members’ codes for quality and correctness.
• Evaluate data systems for variances, discrepancies, and efficiency.
• Troubleshooting and optimizing data systems.
• Liaison with multiple stakeholders to understand the business requirements and work with team members to support the product requirement mapping to the rest of the engineering track.
• Work with other team members to support high-quality delivery and keep a balance with customer focus to meet business needs.
• Demonstrate excellent communication skills and maintain a consistent record of delivering results in a fast-paced environment.